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magic_pdf-
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1
.gitignore
vendored
1
.gitignore
vendored
@@ -31,5 +31,6 @@ tmp
|
||||
.vscode
|
||||
.vscode/
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/tests/
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ocr_demo
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||||
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||||
/app/common/__init__.py
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@@ -5,6 +5,7 @@ from pathlib import Path
|
||||
|
||||
import click
|
||||
|
||||
from magic_pdf.dict2md.mkcontent import mk_mm_markdown
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from magic_pdf.pipeline import (
|
||||
meta_scan,
|
||||
classify_by_type,
|
||||
@@ -55,14 +56,19 @@ def demo_parse_pdf(book_name=None, start_page_id=0, debug_mode=True):
|
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write_json_to_local(jso, book_name)
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|
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jso_md = pdf_intermediate_dict_to_markdown(jso, debug_mode=debug_mode)
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md_content = jso_md.get("content")
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content = jso_md.get("content_list")
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markdown_content = mk_mm_markdown(content)
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if book_name is not None:
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save_tmp_path = os.path.join(os.path.dirname(__file__), "../..", "tmp", "unittest")
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markdown_save_path = join_path(save_tmp_path, "md", book_name + ".md")
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save_tmp_path = os.path.join(os.path.dirname(__file__), "../..", "tmp", "unittest", "md", book_name)
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uni_format_save_path = join_path(save_tmp_path, "book" + ".json")
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||||
markdown_save_path = join_path(save_tmp_path, "book" + ".md")
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with open(uni_format_save_path, "w", encoding="utf-8") as f:
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f.write(json.dumps(content, ensure_ascii=False, indent=4))
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with open(markdown_save_path, "w", encoding="utf-8") as f:
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f.write(md_content)
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f.write(markdown_content)
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||||
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||||
else:
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logger.info(md_content)
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logger.info(json.dumps(content, ensure_ascii=False))
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||||
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||||
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||||
def demo_save_tables(book_name=None, start_page_id=0, debug_mode=True):
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||||
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@@ -1,20 +0,0 @@
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||||
from magic_pdf.libs.commons import fitz # PyMuPDF
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||||
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||||
# PDF文件路径
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||||
pdf_path = "D:\\project\\20231108code-clean\\code-clean\\tmp\\unittest\\download-pdfs\\scihub\\scihub_53700000\\libgen.scimag53724000-53724999.zip_10.1097\\00129191-200509000-00018.pdf"
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doc = fitz.open(pdf_path) # Open the PDF
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# 你的数据
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data = [[[-2, 0, 603, 80, 24]], [[-3, 0, 602, 80, 24]]]
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||||
# 对每个页面进行处理
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for i, page in enumerate(doc):
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# 获取当前页面的数据
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page_data = data[i]
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for img in page_data:
|
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x0, y0, x1, y1, _ = img
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||||
rect_coords = fitz.Rect(x0, y0, x1, y1) # Define the rectangle
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||||
page.draw_rect(rect_coords, color=(1, 0, 0), fill=None, width=1.5, overlay=True) # Draw the rectangle
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||||
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||||
# Save the PDF
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doc.save("D:\\project\\20231108code-clean\\code-clean\\tmp\\unittest\\download-pdfs\\scihub\\scihub_53700000\\libgen.scimag53724000-53724999.zip_10.1097\\00129191-200509000-00018_new.pdf")
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||||
@@ -1,8 +1,11 @@
|
||||
import json
|
||||
import os
|
||||
|
||||
from loguru import logger
|
||||
from pathlib import Path
|
||||
|
||||
from magic_pdf.dict2md.ocr_mkcontent import mk_nlp_markdown
|
||||
from magic_pdf.dict2md.ocr_mkcontent import ocr_mk_mm_markdown_with_para, ocr_mk_nlp_markdown, ocr_mk_mm_markdown, ocr_mk_mm_standard_format
|
||||
from magic_pdf.libs.commons import join_path
|
||||
from magic_pdf.pdf_parse_by_ocr import parse_pdf_by_ocr
|
||||
|
||||
|
||||
@@ -20,10 +23,52 @@ def save_markdown(markdown_text, input_filepath):
|
||||
file.write(markdown_text)
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
ocr_json_file_path = r"D:\project\20231108code-clean\ocr\new\demo_4\ocr_0.json"
|
||||
pdf_info_dict = parse_pdf_by_ocr(ocr_json_file_path)
|
||||
markdown_text = mk_nlp_markdown(pdf_info_dict)
|
||||
logger.info(markdown_text)
|
||||
save_markdown(markdown_text, ocr_json_file_path)
|
||||
def read_json_file(file_path):
|
||||
with open(file_path, 'r') as f:
|
||||
data = json.load(f)
|
||||
return data
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
#ocr_pdf_path = r"D:\project\20231108code-clean\ocr\new\双栏\s0043-1354(02)00581-x.pdf"
|
||||
#ocr_json_file_path = r"D:\project\20231108code-clean\ocr\new\双栏\s0043-1354(02)00581-x.json"
|
||||
# ocr_pdf_path = r"D:\project\20231108code-clean\ocr\new\双栏\j.1540-627x.2006.00176.x.pdf"
|
||||
# ocr_json_file_path = r"D:\project\20231108code-clean\ocr\new\双栏\j.1540-627x.2006.00176.x.json"
|
||||
|
||||
ocr_pdf_path = r"/home/cxu/workspace/Magic-PDF/ocr_demo/j.1540-627x.2006.00176.x.pdf"
|
||||
ocr_json_file_path = r"/home/cxu/workspace/Magic-PDF/ocr_demo/j.1540-627x.2006.00176.x.json"
|
||||
try:
|
||||
ocr_pdf_model_info = read_json_file(ocr_json_file_path)
|
||||
pth = Path(ocr_json_file_path)
|
||||
book_name = pth.name
|
||||
save_tmp_path = os.path.join(os.path.dirname(__file__), "../..", "tmp", "unittest")
|
||||
save_path = join_path(save_tmp_path, "md")
|
||||
save_path_with_bookname = os.path.join(save_path, book_name)
|
||||
text_content_save_path = f"{save_path_with_bookname}/book.md"
|
||||
pdf_info_dict = parse_pdf_by_ocr(
|
||||
ocr_pdf_path,
|
||||
None,
|
||||
ocr_pdf_model_info,
|
||||
save_path,
|
||||
book_name,
|
||||
debug_mode=True)
|
||||
|
||||
parent_dir = os.path.dirname(text_content_save_path)
|
||||
if not os.path.exists(parent_dir):
|
||||
os.makedirs(parent_dir)
|
||||
|
||||
# markdown_content = mk_nlp_markdown(pdf_info_dict)
|
||||
markdown_content = ocr_mk_mm_markdown_with_para(pdf_info_dict)
|
||||
|
||||
with open(text_content_save_path, "w", encoding="utf-8") as f:
|
||||
f.write(markdown_content)
|
||||
|
||||
standard_format = ocr_mk_mm_standard_format(pdf_info_dict)
|
||||
standard_format_save_path = f"{save_path_with_bookname}/standard_format.txt"
|
||||
with open(standard_format_save_path, "w", encoding="utf-8") as f:
|
||||
f.write(str(standard_format))
|
||||
|
||||
# logger.info(markdown_content)
|
||||
# save_markdown(markdown_text, ocr_json_file_path)
|
||||
except Exception as e:
|
||||
logger.exception(e)
|
||||
|
||||
@@ -2,9 +2,15 @@ import math
|
||||
from loguru import logger
|
||||
|
||||
from magic_pdf.libs.boxbase import find_bottom_nearest_text_bbox, find_top_nearest_text_bbox
|
||||
from magic_pdf.libs.ocr_content_type import ContentType
|
||||
|
||||
TYPE_INLINE_EQUATION = ContentType.InlineEquation
|
||||
TYPE_INTERLINE_EQUATION = ContentType.InterlineEquation
|
||||
UNI_FORMAT_TEXT_TYPE = ['text', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6']
|
||||
|
||||
|
||||
def mk_nlp_markdown(para_dict: dict):
|
||||
@DeprecationWarning
|
||||
def mk_nlp_markdown_1(para_dict: dict):
|
||||
"""
|
||||
对排序后的bboxes拼接内容
|
||||
"""
|
||||
@@ -69,14 +75,14 @@ def __insert_before(content, image_content, target):
|
||||
return content
|
||||
|
||||
|
||||
|
||||
def mk_mm_markdown(para_dict: dict):
|
||||
@DeprecationWarning
|
||||
def mk_mm_markdown_1(para_dict: dict):
|
||||
"""拼装多模态markdown"""
|
||||
content_lst = []
|
||||
for _, page_info in para_dict.items():
|
||||
page_lst = [] # 一个page内的段落列表
|
||||
para_blocks = page_info.get("para_blocks")
|
||||
pymu_raw_blocks = page_info.get("preproc_blocks")
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||||
pymu_raw_blocks = page_info.get("preproc_blocks")
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||||
|
||||
all_page_images = []
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||||
all_page_images.extend(page_info.get("images",[]))
|
||||
@@ -137,7 +143,7 @@ def mk_mm_markdown(para_dict: dict):
|
||||
else:
|
||||
page_md = __insert_before(page_md, img_content, line_txt)
|
||||
else:
|
||||
logger.error(f"Can't find the location of image {img['image_path']} in the markdown file")
|
||||
logger.error(f"Can't find the location of image {img['image_path']} in the markdown file #1")
|
||||
else:# 应当在两个block之间
|
||||
# 找到上方最近的block,如果上方没有就找大下方最近的block
|
||||
top_txt_block = find_top_nearest_text_bbox(pymu_raw_blocks, imgbox)
|
||||
@@ -150,7 +156,7 @@ def mk_mm_markdown(para_dict: dict):
|
||||
line_txt = "".join([s['text'] for s in bottom_txt_block['lines'][0]['spans']])
|
||||
page_md = __insert_before(page_md, img_content, line_txt)
|
||||
else:
|
||||
logger.error(f"Can't find the location of image {img['image_path']} in the markdown file")
|
||||
logger.error(f"Can't find the location of image {img['image_path']} in the markdown file #2")
|
||||
|
||||
content_lst.append(page_md)
|
||||
|
||||
@@ -158,92 +164,190 @@ def mk_mm_markdown(para_dict: dict):
|
||||
content_text = "\n\n".join(content_lst)
|
||||
|
||||
return content_text
|
||||
|
||||
|
||||
@DeprecationWarning
|
||||
def mk_mm_markdown_1(para_dict: dict):
|
||||
|
||||
|
||||
def __insert_after_para(text, image_path, content_list):
|
||||
"""
|
||||
得到images和tables变量
|
||||
在content_list中找到text,将image_path作为一个新的node插入到text后面
|
||||
"""
|
||||
image_all_list = []
|
||||
for i, c in enumerate(content_list):
|
||||
content_type = c.get("type")
|
||||
if content_type in UNI_FORMAT_TEXT_TYPE and text in c.get("text", ''):
|
||||
img_node = {
|
||||
"type": "image",
|
||||
"img_path": image_path,
|
||||
"img_alt":"",
|
||||
"img_title":"",
|
||||
"img_caption":""
|
||||
}
|
||||
content_list.insert(i+1, img_node)
|
||||
break
|
||||
else:
|
||||
logger.error(f"Can't find the location of image {image_path} in the markdown file, search target is {text}")
|
||||
|
||||
|
||||
|
||||
def __insert_before_para(text, image_path, content_list):
|
||||
"""
|
||||
在content_list中找到text,将image_path作为一个新的node插入到text前面
|
||||
"""
|
||||
for i, c in enumerate(content_list):
|
||||
content_type = c.get("type")
|
||||
if content_type in UNI_FORMAT_TEXT_TYPE and text in c.get("text", ''):
|
||||
img_node = {
|
||||
"type": "image",
|
||||
"img_path": image_path,
|
||||
"img_alt":"",
|
||||
"img_title":"",
|
||||
"img_caption":""
|
||||
}
|
||||
content_list.insert(i, img_node)
|
||||
break
|
||||
else:
|
||||
logger.error(f"Can't find the location of image {image_path} in the markdown file, search target is {text}")
|
||||
|
||||
|
||||
def mk_universal_format(para_dict: dict):
|
||||
"""
|
||||
构造统一格式 https://aicarrier.feishu.cn/wiki/FqmMwcH69iIdCWkkyjvcDwNUnTY
|
||||
"""
|
||||
content_lst = []
|
||||
for _, page_info in para_dict.items():
|
||||
images = page_info.get("images",[])
|
||||
tables = page_info.get("tables",[])
|
||||
image_backup = page_info.get("image_backup", [])
|
||||
table_backup = page_info.get("table_backup",[])
|
||||
all_page_images = []
|
||||
all_page_images.extend(images)
|
||||
all_page_images.extend(image_backup)
|
||||
all_page_images.extend(tables)
|
||||
all_page_images.extend(table_backup)
|
||||
page_lst = [] # 一个page内的段落列表
|
||||
para_blocks = page_info.get("para_blocks")
|
||||
pymu_raw_blocks = page_info.get("preproc_blocks")
|
||||
|
||||
pymu_raw_blocks = page_info.get("pymu_raw_blocks")
|
||||
|
||||
# 提取每个图片所在位置
|
||||
for image_info in all_page_images:
|
||||
x0_image, y0_image, x1_image, y1_image = image_info['bbox'][:4]
|
||||
image_path = image_info['image_path']
|
||||
|
||||
# 判断图片处于原始PDF中哪个模块之间
|
||||
image_internal_dict = {}
|
||||
image_external_dict = {}
|
||||
between_dict = {}
|
||||
all_page_images = []
|
||||
all_page_images.extend(page_info.get("images",[]))
|
||||
all_page_images.extend(page_info.get("image_backup", []) )
|
||||
all_page_images.extend(page_info.get("tables",[]))
|
||||
all_page_images.extend(page_info.get("table_backup",[]) )
|
||||
|
||||
if not para_blocks or not pymu_raw_blocks: # 只有图片的拼接的场景
|
||||
for img in all_page_images:
|
||||
content_node = {
|
||||
"type": "image",
|
||||
"img_path": img['image_path'],
|
||||
"img_alt":"",
|
||||
"img_title":"",
|
||||
"img_caption":""
|
||||
}
|
||||
page_lst.append(content_node) # TODO 图片顺序
|
||||
else:
|
||||
for block in para_blocks:
|
||||
item = block["paras"]
|
||||
for _, p in item.items():
|
||||
font_type = p['para_font_type']# 对于文本来说,要么是普通文本,要么是个行间公式
|
||||
if font_type == TYPE_INTERLINE_EQUATION:
|
||||
content_node = {
|
||||
"type": "equation",
|
||||
"latex": p["para_text"]
|
||||
}
|
||||
page_lst.append(content_node)
|
||||
else:
|
||||
para_text = p["para_text"]
|
||||
is_title = p["is_para_title"]
|
||||
title_level = p['para_title_level']
|
||||
|
||||
if is_title:
|
||||
content_node = {
|
||||
"type": f"h{title_level}",
|
||||
"text": para_text
|
||||
}
|
||||
page_lst.append(content_node)
|
||||
else:
|
||||
content_node = {
|
||||
"type": "text",
|
||||
"text": para_text
|
||||
}
|
||||
page_lst.append(content_node)
|
||||
|
||||
content_lst.extend(page_lst)
|
||||
|
||||
"""插入图片"""
|
||||
for img in all_page_images:
|
||||
imgbox = img['bbox']
|
||||
img_content = f"{img['image_path']}"
|
||||
# 先看在哪个block内
|
||||
for block in pymu_raw_blocks:
|
||||
x0, y0, x1, y1 = block['bbox'][:4]
|
||||
|
||||
# 在某个模块内部
|
||||
if x0 <= x0_image < x1 and y0 <= y0_image < y1:
|
||||
image_internal_dict['bbox'] = [x0_image, y0_image, x1_image, y1_image]
|
||||
image_internal_dict['path'] = image_path
|
||||
|
||||
# 确定图片在哪句文本之前
|
||||
y_pre = 0
|
||||
for line in block['lines']:
|
||||
x0, y0, x1, y1 = line['spans'][0]['bbox']
|
||||
if x0 <= x0_image < x1 and y_pre <= y0_image < y0:
|
||||
text = line['spans']['text']
|
||||
image_internal_dict['text'] = text
|
||||
image_internal_dict['markdown_image'] = f''
|
||||
bbox = block['bbox']
|
||||
if bbox[0]-1 <= imgbox[0] < bbox[2]+1 and bbox[1]-1 <= imgbox[1] < bbox[3]+1:# 确定在这个大的block内,然后进入逐行比较距离
|
||||
for l in block['lines']:
|
||||
line_box = l['bbox']
|
||||
if line_box[0]-1 <= imgbox[0] < line_box[2]+1 and line_box[1]-1 <= imgbox[1] < line_box[3]+1: # 在line内的,插入line前面
|
||||
line_txt = "".join([s['text'] for s in l['spans']])
|
||||
__insert_before_para(line_txt, img_content, content_lst)
|
||||
break
|
||||
break
|
||||
else:# 在行与行之间
|
||||
# 找到图片x0,y0与line的x0,y0最近的line
|
||||
min_distance = 100000
|
||||
min_line = None
|
||||
for l in block['lines']:
|
||||
line_box = l['bbox']
|
||||
distance = math.sqrt((line_box[0] - imgbox[0])**2 + (line_box[1] - imgbox[1])**2)
|
||||
if distance < min_distance:
|
||||
min_distance = distance
|
||||
min_line = l
|
||||
if min_line:
|
||||
line_txt = "".join([s['text'] for s in min_line['spans']])
|
||||
img_h = imgbox[3] - imgbox[1]
|
||||
if min_distance<img_h: # 文字在图片前面
|
||||
__insert_after_para(line_txt, img_content, content_lst)
|
||||
else:
|
||||
__insert_before_para(line_txt, img_content, content_lst)
|
||||
break
|
||||
else:
|
||||
y_pre = y0
|
||||
# 在某两个模块之间
|
||||
elif x0 <= x0_image < x1:
|
||||
distance = math.sqrt((x1_image - x0)**2 + (y1_image - y0)**2)
|
||||
between_dict[block['number']] = distance
|
||||
|
||||
# 找到与定位点距离最小的文本block
|
||||
if between_dict:
|
||||
min_key = min(between_dict, key=between_dict.get)
|
||||
spans_list = []
|
||||
for span in pymu_raw_blocks[min_key]['lines']:
|
||||
for text_piece in span['spans']:
|
||||
# 防止索引定位文本内容过多
|
||||
if len(spans_list) < 60:
|
||||
spans_list.append(text_piece['text'])
|
||||
text1 = ''.join(spans_list)
|
||||
|
||||
image_external_dict['bbox'] = [x0_image, y0_image, x1_image, y1_image]
|
||||
image_external_dict['path'] = image_path
|
||||
image_external_dict['text'] = text1
|
||||
image_external_dict['markdown_image'] = f''
|
||||
logger.error(f"Can't find the location of image {img['image_path']} in the markdown file #1")
|
||||
else:# 应当在两个block之间
|
||||
# 找到上方最近的block,如果上方没有就找大下方最近的block
|
||||
top_txt_block = find_top_nearest_text_bbox(pymu_raw_blocks, imgbox)
|
||||
if top_txt_block:
|
||||
line_txt = "".join([s['text'] for s in top_txt_block['lines'][-1]['spans']])
|
||||
__insert_after_para(line_txt, img_content, content_lst)
|
||||
else:
|
||||
bottom_txt_block = find_bottom_nearest_text_bbox(pymu_raw_blocks, imgbox)
|
||||
if bottom_txt_block:
|
||||
line_txt = "".join([s['text'] for s in bottom_txt_block['lines'][0]['spans']])
|
||||
__insert_before_para(line_txt, img_content, content_lst)
|
||||
else: # TODO ,图片可能独占一列,这种情况上下是没有图片的
|
||||
logger.error(f"Can't find the location of image {img['image_path']} in the markdown file #2")
|
||||
# end for
|
||||
return content_lst
|
||||
|
||||
# 将内部图片或外部图片存入当页所有图片的列表
|
||||
if len(image_internal_dict) != 0:
|
||||
image_all_list.append(image_internal_dict)
|
||||
elif len(image_external_dict) != 0:
|
||||
image_all_list.append(image_external_dict)
|
||||
|
||||
def mk_mm_markdown(content_list):
|
||||
"""
|
||||
基于同一格式的内容列表,构造markdown,含图片
|
||||
"""
|
||||
content_md = []
|
||||
for c in content_list:
|
||||
content_type = c.get("type")
|
||||
if content_type == "text":
|
||||
content_md.append(c.get("text"))
|
||||
elif content_type == "equation":
|
||||
content = c.get("latex")
|
||||
if content.startswith("$$") and content.endswith("$$"):
|
||||
content_md.append(content)
|
||||
else:
|
||||
logger.error(f"Can't find the location of image {image_path} in the markdown file")
|
||||
content_md.append(f"\n$$\n{c.get('latex')}\n$$\n")
|
||||
elif content_type in UNI_FORMAT_TEXT_TYPE:
|
||||
content_md.append(f"{'#'*int(content_type[1])} {c.get('text')}")
|
||||
elif content_type == "image":
|
||||
content_md.append(f"})")
|
||||
return "\n\n".join(content_md)
|
||||
|
||||
content_text = mk_nlp_markdown(para_dict)
|
||||
|
||||
for image_info_extract in image_all_list:
|
||||
loc = __find_index(content_text, image_info_extract['text'])
|
||||
if loc is not None:
|
||||
content_text = __insert_string(content_text, image_info_extract['markdown_image'], loc)
|
||||
else:
|
||||
logger.error(f"Can't find the location of image {image_info_extract['path']} in the markdown file")
|
||||
|
||||
return content_text
|
||||
def mk_nlp_markdown(content_list):
|
||||
"""
|
||||
基于同一格式的内容列表,构造markdown,不含图片
|
||||
"""
|
||||
content_md = []
|
||||
for c in content_list:
|
||||
content_type = c.get("type")
|
||||
if content_type == "text":
|
||||
content_md.append(c.get("text"))
|
||||
elif content_type == "equation":
|
||||
content_md.append(f"$$\n{c.get('latex')}\n$$")
|
||||
elif content_type in UNI_FORMAT_TEXT_TYPE:
|
||||
content_md.append(f"{'#'*int(content_type[1])} {c.get('text')}")
|
||||
return "\n\n".join(content_md)
|
||||
@@ -1,5 +1,9 @@
|
||||
def mk_nlp_markdown(pdf_info_dict: dict):
|
||||
from magic_pdf.libs.commons import s3_image_save_path, join_path
|
||||
from magic_pdf.libs.markdown_utils import ocr_escape_special_markdown_char
|
||||
from magic_pdf.libs.ocr_content_type import ContentType
|
||||
|
||||
|
||||
def ocr_mk_nlp_markdown(pdf_info_dict: dict):
|
||||
markdown = []
|
||||
|
||||
for _, page_info in pdf_info_dict.items():
|
||||
@@ -10,12 +14,129 @@ def mk_nlp_markdown(pdf_info_dict: dict):
|
||||
for line in block['lines']:
|
||||
line_text = ''
|
||||
for span in line['spans']:
|
||||
content = span['content'].replace('$', '\$') # 转义$
|
||||
if span['type'] == 'inline_equation':
|
||||
if not span.get('content'):
|
||||
continue
|
||||
content = ocr_escape_special_markdown_char(span['content']) # 转义特殊符号
|
||||
if span['type'] == ContentType.InlineEquation:
|
||||
content = f"${content}$"
|
||||
elif span['type'] == 'displayed_equation':
|
||||
elif span['type'] == ContentType.InterlineEquation:
|
||||
content = f"$$\n{content}\n$$"
|
||||
line_text += content + ' '
|
||||
# 在行末添加两个空格以强制换行
|
||||
markdown.append(line_text.strip() + ' ')
|
||||
return '\n'.join(markdown)
|
||||
|
||||
|
||||
def ocr_mk_mm_markdown(pdf_info_dict: dict):
|
||||
markdown = []
|
||||
|
||||
for _, page_info in pdf_info_dict.items():
|
||||
blocks = page_info.get("preproc_blocks")
|
||||
if not blocks:
|
||||
continue
|
||||
for block in blocks:
|
||||
for line in block['lines']:
|
||||
line_text = ''
|
||||
for span in line['spans']:
|
||||
if not span.get('content'):
|
||||
if not span.get('image_path'):
|
||||
continue
|
||||
else:
|
||||
content = f"})"
|
||||
else:
|
||||
content = ocr_escape_special_markdown_char(span['content']) # 转义特殊符号
|
||||
if span['type'] == ContentType.InlineEquation:
|
||||
content = f"${content}$"
|
||||
elif span['type'] == ContentType.InterlineEquation:
|
||||
content = f"$$\n{content}\n$$"
|
||||
line_text += content + ' '
|
||||
# 在行末添加两个空格以强制换行
|
||||
markdown.append(line_text.strip() + ' ')
|
||||
return '\n'.join(markdown)
|
||||
|
||||
|
||||
def ocr_mk_mm_markdown_with_para(pdf_info_dict: dict):
|
||||
markdown = []
|
||||
for _, page_info in pdf_info_dict.items():
|
||||
paras = page_info.get("para_blocks")
|
||||
if not paras:
|
||||
continue
|
||||
for para in paras:
|
||||
para_text = ''
|
||||
for line in para:
|
||||
for span in line['spans']:
|
||||
span_type = span.get('type')
|
||||
if span_type == ContentType.Text:
|
||||
para_text += span['content']
|
||||
elif span_type == ContentType.InlineEquation:
|
||||
para_text += f" ${span['content']}$ "
|
||||
elif span_type == ContentType.InterlineEquation:
|
||||
para_text += f"$$\n{span['content']}\n$$ "
|
||||
elif span_type == ContentType.Image:
|
||||
para_text += f"})"
|
||||
markdown.append(para_text)
|
||||
|
||||
return '\n\n'.join(markdown)
|
||||
|
||||
|
||||
def line_to_standard_format(line):
|
||||
line_text = ""
|
||||
inline_equation_num = 0
|
||||
for span in line['spans']:
|
||||
if not span.get('content'):
|
||||
if not span.get('image_path'):
|
||||
continue
|
||||
else:
|
||||
if span['type'] == ContentType.Image:
|
||||
content = {
|
||||
'type': 'image',
|
||||
'img_path': join_path(s3_image_save_path, span['image_path'])
|
||||
}
|
||||
return content
|
||||
elif span['type'] == ContentType.Table:
|
||||
content = {
|
||||
'type': 'table',
|
||||
'img_path': join_path(s3_image_save_path, span['image_path'])
|
||||
}
|
||||
return content
|
||||
else:
|
||||
if span['type'] == ContentType.InterlineEquation:
|
||||
interline_equation = ocr_escape_special_markdown_char(span['content']) # 转义特殊符号
|
||||
content = {
|
||||
'type': 'equation',
|
||||
'latex': f"$$\n{interline_equation}\n$$"
|
||||
}
|
||||
return content
|
||||
elif span['type'] == ContentType.InlineEquation:
|
||||
inline_equation = ocr_escape_special_markdown_char(span['content']) # 转义特殊符号
|
||||
line_text += f"${inline_equation}$"
|
||||
inline_equation_num += 1
|
||||
elif span['type'] == ContentType.Text:
|
||||
line_text += span['content']
|
||||
content = {
|
||||
'type': 'text',
|
||||
'text': line_text,
|
||||
'inline_equation_num': inline_equation_num
|
||||
}
|
||||
return content
|
||||
|
||||
|
||||
def ocr_mk_mm_standard_format(pdf_info_dict: dict):
|
||||
'''
|
||||
content_list
|
||||
type string image/text/table/equation(行间的单独拿出来,行内的和text合并)
|
||||
latex string latex文本字段。
|
||||
text string 纯文本格式的文本数据。
|
||||
md string markdown格式的文本数据。
|
||||
img_path string s3://full/path/to/img.jpg
|
||||
'''
|
||||
content_list = []
|
||||
for _, page_info in pdf_info_dict.items():
|
||||
blocks = page_info.get("preproc_blocks")
|
||||
if not blocks:
|
||||
continue
|
||||
for block in blocks:
|
||||
for line in block['lines']:
|
||||
content = line_to_standard_format(line)
|
||||
content_list.append(content)
|
||||
return content_list
|
||||
|
||||
@@ -177,6 +177,27 @@ def calculate_overlap_area_2_minbox_area_ratio(bbox1, bbox2):
|
||||
else:
|
||||
return intersection_area / min_box_area
|
||||
|
||||
def calculate_overlap_area_in_bbox1_area_ratio(bbox1, bbox2):
|
||||
"""
|
||||
计算box1和box2的重叠面积占bbox1的比例
|
||||
"""
|
||||
# Determine the coordinates of the intersection rectangle
|
||||
x_left = max(bbox1[0], bbox2[0])
|
||||
y_top = max(bbox1[1], bbox2[1])
|
||||
x_right = min(bbox1[2], bbox2[2])
|
||||
y_bottom = min(bbox1[3], bbox2[3])
|
||||
|
||||
if x_right < x_left or y_bottom < y_top:
|
||||
return 0.0
|
||||
|
||||
# The area of overlap area
|
||||
intersection_area = (x_right - x_left) * (y_bottom - y_top)
|
||||
bbox1_area = (bbox1[2]-bbox1[0])*(bbox1[3]-bbox1[1])
|
||||
if bbox1_area == 0:
|
||||
return 0
|
||||
else:
|
||||
return intersection_area / bbox1_area
|
||||
|
||||
|
||||
def get_minbox_if_overlap_by_ratio(bbox1, bbox2, ratio):
|
||||
"""
|
||||
@@ -189,10 +210,11 @@ def get_minbox_if_overlap_by_ratio(bbox1, bbox2, ratio):
|
||||
area1 = (x1_max - x1_min) * (y1_max - y1_min)
|
||||
area2 = (x2_max - x2_min) * (y2_max - y2_min)
|
||||
overlap_ratio = calculate_overlap_area_2_minbox_area_ratio(bbox1, bbox2)
|
||||
if overlap_ratio > ratio and area1 < area2:
|
||||
return bbox1
|
||||
elif overlap_ratio > ratio and area2 < area1:
|
||||
return bbox2
|
||||
if overlap_ratio > ratio:
|
||||
if area1 <= area2:
|
||||
return bbox1
|
||||
else:
|
||||
return bbox2
|
||||
else:
|
||||
return None
|
||||
|
||||
|
||||
@@ -1,4 +1,5 @@
|
||||
import datetime
|
||||
import json
|
||||
import os, re, configparser
|
||||
import time
|
||||
|
||||
@@ -15,13 +16,16 @@ def get_delta_time(input_time):
|
||||
|
||||
|
||||
def join_path(*args):
|
||||
return '/'.join(s.rstrip('/') for s in args)
|
||||
return '/'.join(str(s).rstrip('/') for s in args)
|
||||
|
||||
|
||||
#配置全局的errlog_path,方便demo同步引用
|
||||
error_log_path = "s3://llm-pdf-text/err_logs/"
|
||||
# json_dump_path = "s3://pdf_books_temp/json_dump/" # 这条路径仅用于临时本地测试,不能提交到main
|
||||
json_dump_path = "s3://llm-pdf-text/json_dump/"
|
||||
|
||||
s3_image_save_path = "s3://mllm-raw-media/pdf2md_img/"
|
||||
|
||||
|
||||
def get_top_percent_list(num_list, percent):
|
||||
"""
|
||||
@@ -115,6 +119,34 @@ def read_file(pdf_path: str, s3_profile):
|
||||
with open(pdf_path, "rb") as f:
|
||||
return f.read()
|
||||
|
||||
|
||||
def get_docx_model_output(pdf_model_output, pdf_model_s3_profile, page_id):
|
||||
if isinstance(pdf_model_output, str):
|
||||
model_output_json_path = join_path(pdf_model_output, f"page_{page_id + 1}.json") # 模型输出的页面编号从1开始的
|
||||
if os.path.exists(model_output_json_path):
|
||||
json_from_docx = read_file(model_output_json_path, pdf_model_s3_profile)
|
||||
model_output_json = json.loads(json_from_docx)
|
||||
else:
|
||||
try:
|
||||
model_output_json_path = join_path(pdf_model_output, "model.json")
|
||||
with open(model_output_json_path, "r", encoding="utf-8") as f:
|
||||
model_output_json = json.load(f)
|
||||
model_output_json = model_output_json["doc_layout_result"][page_id]
|
||||
except:
|
||||
s3_model_output_json_path = join_path(pdf_model_output, f"page_{page_id + 1}.json")
|
||||
s3_model_output_json_path = join_path(pdf_model_output, f"{page_id}.json")
|
||||
#s3_model_output_json_path = join_path(pdf_model_output, f"page_{page_id }.json")
|
||||
# logger.warning(f"model_output_json_path: {model_output_json_path} not found. try to load from s3: {s3_model_output_json_path}")
|
||||
|
||||
s = read_file(s3_model_output_json_path, pdf_model_s3_profile)
|
||||
return json.loads(s)
|
||||
|
||||
elif isinstance(pdf_model_output, list):
|
||||
model_output_json = pdf_model_output[page_id]
|
||||
|
||||
return model_output_json
|
||||
|
||||
|
||||
def list_dir(dir_path:str, s3_profile:str):
|
||||
"""
|
||||
列出dir_path下的所有文件
|
||||
|
||||
9
magic_pdf/libs/coordinate_transform.py
Normal file
9
magic_pdf/libs/coordinate_transform.py
Normal file
@@ -0,0 +1,9 @@
|
||||
def get_scale_ratio(ocr_page_info, page):
|
||||
pix = page.get_pixmap(dpi=72)
|
||||
pymu_width = int(pix.w)
|
||||
pymu_height = int(pix.h)
|
||||
width_from_json = ocr_page_info['page_info']['width']
|
||||
height_from_json = ocr_page_info['page_info']['height']
|
||||
horizontal_scale_ratio = width_from_json / pymu_width
|
||||
vertical_scale_ratio = height_from_json / pymu_height
|
||||
return horizontal_scale_ratio, vertical_scale_ratio
|
||||
80
magic_pdf/libs/draw_bbox.py
Normal file
80
magic_pdf/libs/draw_bbox.py
Normal file
@@ -0,0 +1,80 @@
|
||||
from magic_pdf.libs.commons import fitz # PyMuPDF
|
||||
from magic_pdf.libs.ocr_content_type import ContentType
|
||||
|
||||
|
||||
def draw_bbox_without_number(i, bbox_list, page, rgb_config):
|
||||
new_rgb = []
|
||||
for item in rgb_config:
|
||||
item = float(item) / 255
|
||||
new_rgb.append(item)
|
||||
page_data = bbox_list[i]
|
||||
for bbox in page_data:
|
||||
x0, y0, x1, y1 = bbox
|
||||
rect_coords = fitz.Rect(x0, y0, x1, y1) # Define the rectangle
|
||||
page.draw_rect(rect_coords, color=new_rgb, fill=None, width=0.5, overlay=True) # Draw the rectangle
|
||||
|
||||
|
||||
def draw_bbox_with_number(i, bbox_list, page, rgb_config):
|
||||
new_rgb = []
|
||||
for item in rgb_config:
|
||||
item = float(item) / 255
|
||||
new_rgb.append(item)
|
||||
page_data = bbox_list[i]
|
||||
for j, bbox in enumerate(page_data):
|
||||
x0, y0, x1, y1 = bbox
|
||||
rect_coords = fitz.Rect(x0, y0, x1, y1) # Define the rectangle
|
||||
page.draw_rect(rect_coords, color=new_rgb, fill=None, width=0.5, overlay=True) # Draw the rectangle
|
||||
page.insert_text((x0, y0), str(j + 1), fontsize=10, color=new_rgb) # Insert the index at the top left corner of the rectangle
|
||||
|
||||
|
||||
def draw_layout_bbox(pdf_info_dict, input_path, out_path):
|
||||
layout_bbox_list = []
|
||||
dropped_bbox_list = []
|
||||
for page in pdf_info_dict.values():
|
||||
page_layout_list = []
|
||||
page_dropped_list = []
|
||||
for layout in page['layout_bboxes']:
|
||||
page_layout_list.append(layout['layout_bbox'])
|
||||
layout_bbox_list.append(page_layout_list)
|
||||
for drop_tag, dropped_bboxes in page['droped_bboxes'].items():
|
||||
for dropped_bbox in dropped_bboxes:
|
||||
page_dropped_list.append(dropped_bbox)
|
||||
dropped_bbox_list.append(page_dropped_list)
|
||||
|
||||
doc = fitz.open(input_path)
|
||||
for i, page in enumerate(doc):
|
||||
draw_bbox_with_number(i, layout_bbox_list, page, [255, 0, 0])
|
||||
draw_bbox_without_number(i, dropped_bbox_list, page, [0, 255, 0])
|
||||
# Save the PDF
|
||||
doc.save(f"{out_path}/layout.pdf")
|
||||
|
||||
def draw_text_bbox(pdf_info_dict, input_path, out_path):
|
||||
text_list = []
|
||||
inline_equation_list = []
|
||||
interline_equation_list = []
|
||||
for page in pdf_info_dict.values():
|
||||
page_text_list = []
|
||||
page_inline_equation_list = []
|
||||
page_interline_equation_list = []
|
||||
for block in page['preproc_blocks']:
|
||||
for line in block['lines']:
|
||||
for span in line['spans']:
|
||||
if span['type'] == ContentType.Text:
|
||||
page_text_list.append(span['bbox'])
|
||||
elif span['type'] == ContentType.InlineEquation:
|
||||
page_inline_equation_list.append(span['bbox'])
|
||||
elif span['type'] == ContentType.InterlineEquation:
|
||||
page_interline_equation_list.append(span['bbox'])
|
||||
text_list.append(page_text_list)
|
||||
inline_equation_list.append(page_inline_equation_list)
|
||||
interline_equation_list.append(page_interline_equation_list)
|
||||
|
||||
doc = fitz.open(input_path)
|
||||
for i, page in enumerate(doc):
|
||||
# 获取当前页面的数据
|
||||
draw_bbox_without_number(i, text_list, page, [255, 0, 0])
|
||||
draw_bbox_without_number(i, inline_equation_list, page, [0, 255, 0])
|
||||
draw_bbox_without_number(i, interline_equation_list, page, [0, 0, 255])
|
||||
|
||||
# Save the PDF
|
||||
doc.save(f"{out_path}/text.pdf")
|
||||
@@ -1,2 +1,18 @@
|
||||
|
||||
COLOR_BG_HEADER_TXT_BLOCK = "color_background_header_txt_block"
|
||||
COLOR_BG_HEADER_TXT_BLOCK = "color_background_header_txt_block"
|
||||
PAGE_NO = "page-no" # 页码
|
||||
CONTENT_IN_FOOT_OR_HEADER = 'in-foot-header-area' # 页眉页脚内的文本
|
||||
VERTICAL_TEXT = 'vertical-text' # 垂直文本
|
||||
ROTATE_TEXT = 'rotate-text' # 旋转文本
|
||||
EMPTY_SIDE_BLOCK = 'empty-side-block' # 边缘上的空白没有任何内容的block
|
||||
ON_IMAGE_TEXT = 'on-image-text' # 文本在图片上
|
||||
ON_TABLE_TEXT = 'on-table-text' # 文本在表格上
|
||||
|
||||
|
||||
class DropTag:
|
||||
PAGE_NUMBER = "page_no"
|
||||
HEADER = "header"
|
||||
FOOTER = "footer"
|
||||
FOOTNOTE = "footnote"
|
||||
NOT_IN_LAYOUT = "not_in_layout"
|
||||
SPAN_OVERLAP = "span_overlap"
|
||||
|
||||
@@ -18,3 +18,14 @@ def escape_special_markdown_char(pymu_blocks):
|
||||
span['text'] = span['text'].replace(char, "\\" + char)
|
||||
|
||||
return pymu_blocks
|
||||
|
||||
|
||||
def ocr_escape_special_markdown_char(content):
|
||||
"""
|
||||
转义正文里对markdown语法有特殊意义的字符
|
||||
"""
|
||||
special_chars = ["*", "`", "~", "$"]
|
||||
for char in special_chars:
|
||||
content = content.replace(char, "\\" + char)
|
||||
|
||||
return content
|
||||
|
||||
7
magic_pdf/libs/ocr_content_type.py
Normal file
7
magic_pdf/libs/ocr_content_type.py
Normal file
@@ -0,0 +1,7 @@
|
||||
class ContentType:
|
||||
Image = "image"
|
||||
Table = "table"
|
||||
Text = "text"
|
||||
InlineEquation = "inline_equation"
|
||||
InterlineEquation = "interline_equation"
|
||||
|
||||
@@ -1,46 +0,0 @@
|
||||
from magic_pdf.libs.boxbase import __is_overlaps_y_exceeds_threshold
|
||||
|
||||
|
||||
def merge_spans(spans):
|
||||
# 按照y0坐标排序
|
||||
spans.sort(key=lambda span: span['bbox'][1])
|
||||
|
||||
lines = []
|
||||
current_line = [spans[0]]
|
||||
for span in spans[1:]:
|
||||
# 如果当前的span类型为"displayed_equation" 或者 当前行中已经有"displayed_equation"
|
||||
if span['type'] == "displayed_equation" or any(s['type'] == "displayed_equation" for s in current_line):
|
||||
# 则开始新行
|
||||
lines.append(current_line)
|
||||
current_line = [span]
|
||||
continue
|
||||
|
||||
# 如果当前的span与当前行的最后一个span在y轴上重叠,则添加到当前行
|
||||
if __is_overlaps_y_exceeds_threshold(span['bbox'], current_line[-1]['bbox']):
|
||||
current_line.append(span)
|
||||
else:
|
||||
# 否则,开始新行
|
||||
lines.append(current_line)
|
||||
current_line = [span]
|
||||
|
||||
# 添加最后一行
|
||||
if current_line:
|
||||
lines.append(current_line)
|
||||
|
||||
# 计算每行的边界框,并对每行中的span按照x0进行排序
|
||||
line_objects = []
|
||||
for line in lines:
|
||||
# 按照x0坐标排序
|
||||
line.sort(key=lambda span: span['bbox'][0])
|
||||
line_bbox = [
|
||||
min(span['bbox'][0] for span in line), # x0
|
||||
min(span['bbox'][1] for span in line), # y0
|
||||
max(span['bbox'][2] for span in line), # x1
|
||||
max(span['bbox'][3] for span in line), # y1
|
||||
]
|
||||
line_objects.append({
|
||||
"bbox": line_bbox,
|
||||
"spans": line,
|
||||
})
|
||||
|
||||
return line_objects
|
||||
209
magic_pdf/para/para_split.py
Normal file
209
magic_pdf/para/para_split.py
Normal file
@@ -0,0 +1,209 @@
|
||||
from sklearn.cluster import DBSCAN
|
||||
import numpy as np
|
||||
from loguru import logger
|
||||
|
||||
from magic_pdf.libs.boxbase import _is_in
|
||||
from magic_pdf.libs.ocr_content_type import ContentType
|
||||
|
||||
|
||||
LINE_STOP_FLAG = ['.', '!', '?', '。', '!', '?',":", ":", ")", ")", ";"]
|
||||
INLINE_EQUATION = ContentType.InlineEquation
|
||||
INTERLINE_EQUATION = ContentType.InterlineEquation
|
||||
TEXT = "text"
|
||||
|
||||
def __add_line_period(blocks, layout_bboxes):
|
||||
"""
|
||||
为每行添加句号
|
||||
如果这个行
|
||||
1. 以行内公式结尾,但没有任何标点符号,此时加个句号,认为他就是段落结尾。
|
||||
"""
|
||||
for block in blocks:
|
||||
for line in block['lines']:
|
||||
last_span = line['spans'][-1]
|
||||
span_type = last_span['type']
|
||||
if span_type in [INLINE_EQUATION]:
|
||||
span_content = last_span['content'].strip()
|
||||
if span_type==INLINE_EQUATION and span_content[-1] not in LINE_STOP_FLAG:
|
||||
if span_type in [INLINE_EQUATION, INTERLINE_EQUATION]:
|
||||
last_span['content'] = span_content + '.'
|
||||
|
||||
|
||||
|
||||
def __valign_lines(blocks, layout_bboxes):
|
||||
"""
|
||||
在一个layoutbox内对齐行的左侧和右侧。
|
||||
扫描行的左侧和右侧,如果x0, x1差距不超过一个阈值,就强行对齐到所处layout的左右两侧(和layout有一段距离)。
|
||||
3是个经验值,TODO,计算得来,可以设置为1.5个正文字符。
|
||||
"""
|
||||
|
||||
min_distance = 3
|
||||
min_sample = 2
|
||||
|
||||
for layout_box in layout_bboxes:
|
||||
blocks_in_layoutbox = [b for b in blocks if _is_in(b['bbox'], layout_box['layout_bbox'])]
|
||||
if len(blocks_in_layoutbox)==0:
|
||||
continue
|
||||
|
||||
x0_lst = np.array([[line['bbox'][0], 0] for block in blocks_in_layoutbox for line in block['lines']])
|
||||
x1_lst = np.array([[line['bbox'][2], 0] for block in blocks_in_layoutbox for line in block['lines']])
|
||||
x0_clusters = DBSCAN(eps=min_distance, min_samples=min_sample).fit(x0_lst)
|
||||
x1_clusters = DBSCAN(eps=min_distance, min_samples=min_sample).fit(x1_lst)
|
||||
x0_uniq_label = np.unique(x0_clusters.labels_)
|
||||
x1_uniq_label = np.unique(x1_clusters.labels_)
|
||||
|
||||
x0_2_new_val = {} # 存储旧值对应的新值映射
|
||||
x1_2_new_val = {}
|
||||
for label in x0_uniq_label:
|
||||
if label==-1:
|
||||
continue
|
||||
x0_index_of_label = np.where(x0_clusters.labels_==label)
|
||||
x0_raw_val = x0_lst[x0_index_of_label][:,0]
|
||||
x0_new_val = np.min(x0_lst[x0_index_of_label][:,0])
|
||||
x0_2_new_val.update({idx: x0_new_val for idx in x0_raw_val})
|
||||
for label in x1_uniq_label:
|
||||
if label==-1:
|
||||
continue
|
||||
x1_index_of_label = np.where(x1_clusters.labels_==label)
|
||||
x1_raw_val = x1_lst[x1_index_of_label][:,0]
|
||||
x1_new_val = np.max(x1_lst[x1_index_of_label][:,0])
|
||||
x1_2_new_val.update({idx: x1_new_val for idx in x1_raw_val})
|
||||
|
||||
for block in blocks_in_layoutbox:
|
||||
for line in block['lines']:
|
||||
x0, x1 = line['bbox'][0], line['bbox'][2]
|
||||
if x0 in x0_2_new_val:
|
||||
line['bbox'][0] = int(x0_2_new_val[x0])
|
||||
|
||||
if x1 in x1_2_new_val:
|
||||
line['bbox'][2] = int(x1_2_new_val[x1])
|
||||
# 其余对不齐的保持不动
|
||||
|
||||
# 由于修改了block里的line长度,现在需要重新计算block的bbox
|
||||
for block in blocks_in_layoutbox:
|
||||
block['bbox'] = [min([line['bbox'][0] for line in block['lines']]),
|
||||
min([line['bbox'][1] for line in block['lines']]),
|
||||
max([line['bbox'][2] for line in block['lines']]),
|
||||
max([line['bbox'][3] for line in block['lines']])]
|
||||
|
||||
|
||||
def __common_pre_proc(blocks, layout_bboxes):
|
||||
"""
|
||||
不分语言的,对文本进行预处理
|
||||
"""
|
||||
__add_line_period(blocks, layout_bboxes)
|
||||
__valign_lines(blocks, layout_bboxes)
|
||||
|
||||
|
||||
def __pre_proc_zh_blocks(blocks, layout_bboxes):
|
||||
"""
|
||||
对中文文本进行分段预处理
|
||||
"""
|
||||
pass
|
||||
|
||||
|
||||
def __pre_proc_en_blocks(blocks, layout_bboxes):
|
||||
"""
|
||||
对英文文本进行分段预处理
|
||||
"""
|
||||
pass
|
||||
|
||||
|
||||
def __group_line_by_layout(blocks, layout_bboxes, lang="en"):
|
||||
"""
|
||||
每个layout内的行进行聚合
|
||||
"""
|
||||
# 因为只是一个block一行目前, 一个block就是一个段落
|
||||
lines_group = []
|
||||
|
||||
for lyout in layout_bboxes:
|
||||
lines = [line for block in blocks if _is_in(block['bbox'], lyout['layout_bbox']) for line in block['lines']]
|
||||
lines_group.append(lines)
|
||||
|
||||
return lines_group
|
||||
|
||||
|
||||
def __split_para_in_layoutbox(lines_group, layout_bboxes, lang="en", char_avg_len=10):
|
||||
"""
|
||||
lines_group 进行行分段——layout内部进行分段。
|
||||
1. 先计算每个group的左右边界。
|
||||
2. 然后根据行末尾特征进行分段。
|
||||
末尾特征:以句号等结束符结尾。并且距离右侧边界有一定距离。
|
||||
|
||||
"""
|
||||
def get_span_text(span):
|
||||
c = span.get('content', '')
|
||||
if len(c)==0:
|
||||
c = span.get('image-path', '')
|
||||
|
||||
return c
|
||||
|
||||
paras = []
|
||||
right_tail_distance = 1.5 * char_avg_len
|
||||
for lines in lines_group:
|
||||
if len(lines)==0:
|
||||
continue
|
||||
layout_right = max([line['bbox'][2] for line in lines])
|
||||
para = [] # 元素是line
|
||||
for line in lines:
|
||||
line_text = ''.join([get_span_text(span) for span in line['spans']])
|
||||
#logger.info(line_text)
|
||||
last_span_type = line['spans'][-1]['type']
|
||||
if last_span_type in [TEXT, INLINE_EQUATION]:
|
||||
last_char = line['spans'][-1]['content'][-1]
|
||||
if last_char in LINE_STOP_FLAG or line['bbox'][2] < layout_right - right_tail_distance:
|
||||
para.append(line)
|
||||
paras.append(para)
|
||||
# para_text = ''.join([span['content'] for line in para for span in line['spans']])
|
||||
# logger.info(para_text)
|
||||
para = []
|
||||
else:
|
||||
para.append(line)
|
||||
else: # 其他,图片、表格、行间公式,各自占一段
|
||||
if len(para)>0:
|
||||
paras.append(para)
|
||||
para = []
|
||||
else:
|
||||
paras.append([line])
|
||||
para = []
|
||||
# para_text = ''.join([get_span_text(span) for line in para for span in line['spans']])
|
||||
# logger.info(para_text)
|
||||
if len(para)>0:
|
||||
paras.append(para)
|
||||
# para_text = ''.join([get_span_text(span) for line in para for span in line['spans']])
|
||||
# logger.info(para_text)
|
||||
para = []
|
||||
|
||||
return paras
|
||||
|
||||
|
||||
def __do_split(blocks, layout_bboxes, lang="en"):
|
||||
"""
|
||||
根据line和layout情况进行分段
|
||||
先实现一个根据行末尾特征分段的简单方法。
|
||||
"""
|
||||
"""
|
||||
算法思路:
|
||||
1. 扫描layout里每一行,找出来行尾距离layout有边界有一定距离的行。
|
||||
2. 从上述行中找到末尾是句号等可作为断行标志的行。
|
||||
3. 参照上述行尾特征进行分段。
|
||||
4. 图、表,目前独占一行,不考虑分段。
|
||||
"""
|
||||
lines_group = __group_line_by_layout(blocks, layout_bboxes, lang) # block内分段
|
||||
layout_paras = __split_para_in_layoutbox(lines_group, layout_bboxes, lang) # block间连接分段
|
||||
|
||||
return layout_paras
|
||||
|
||||
|
||||
def para_split(blocks, layout_bboxes, lang="en"):
|
||||
"""
|
||||
根据line和layout情况进行分段
|
||||
"""
|
||||
__common_pre_proc(blocks, layout_bboxes)
|
||||
if lang=='en':
|
||||
__do_split(blocks, layout_bboxes, lang)
|
||||
elif lang=='zh':
|
||||
__do_split(blocks, layout_bboxes, lang)
|
||||
|
||||
splited_blocks = __do_split(blocks, layout_bboxes, lang)
|
||||
|
||||
return splited_blocks
|
||||
@@ -2,7 +2,7 @@ import time
|
||||
|
||||
# from anyio import Path
|
||||
|
||||
from magic_pdf.libs.commons import fitz, get_delta_time, get_img_s3_client
|
||||
from magic_pdf.libs.commons import fitz, get_delta_time, get_img_s3_client, get_docx_model_output
|
||||
import json
|
||||
import os
|
||||
import math
|
||||
@@ -68,31 +68,6 @@ paraSplitException_msg = ParaSplitException().message
|
||||
paraMergeException_msg = ParaMergeException().message
|
||||
|
||||
|
||||
def get_docx_model_output(pdf_model_output, pdf_model_s3_profile, page_id):
|
||||
if isinstance(pdf_model_output, str):
|
||||
model_output_json_path = join_path(pdf_model_output, f"page_{page_id + 1}.json") # 模型输出的页面编号从1开始的
|
||||
if os.path.exists(model_output_json_path):
|
||||
json_from_docx = read_file(model_output_json_path, pdf_model_s3_profile)
|
||||
model_output_json = json.loads(json_from_docx)
|
||||
else:
|
||||
try:
|
||||
model_output_json_path = join_path(pdf_model_output, "model.json")
|
||||
with open(model_output_json_path, "r", encoding="utf-8") as f:
|
||||
model_output_json = json.load(f)
|
||||
model_output_json = model_output_json["doc_layout_result"][page_id]
|
||||
except:
|
||||
s3_model_output_json_path = join_path(pdf_model_output, f"page_{page_id + 1}.json")
|
||||
s3_model_output_json_path = join_path(pdf_model_output, f"{page_id}.json")
|
||||
#s3_model_output_json_path = join_path(pdf_model_output, f"page_{page_id }.json")
|
||||
# logger.warning(f"model_output_json_path: {model_output_json_path} not found. try to load from s3: {s3_model_output_json_path}")
|
||||
|
||||
s = read_file(s3_model_output_json_path, pdf_model_s3_profile)
|
||||
return json.loads(s)
|
||||
|
||||
elif isinstance(pdf_model_output, list):
|
||||
model_output_json = pdf_model_output[page_id]
|
||||
|
||||
return model_output_json
|
||||
|
||||
|
||||
def parse_pdf_by_model(
|
||||
@@ -282,7 +257,6 @@ def parse_pdf_by_model(
|
||||
footnote_bboxes_by_model = parse_footnotes_by_model(page_id, page, model_output_json, md_bookname_save_path, debug_mode=debug_mode)
|
||||
# 通过规则识别到的footnote
|
||||
footnote_bboxes_by_rule = parse_footnotes_by_rule(remain_text_blocks, page_height, page_id, main_text_font)
|
||||
|
||||
"""进入pdf过滤器,去掉一些不合理的pdf"""
|
||||
is_good_pdf, err = pdf_filter(page, remain_text_blocks, table_bboxes, image_bboxes)
|
||||
if not is_good_pdf:
|
||||
|
||||
@@ -1,85 +1,288 @@
|
||||
import json
|
||||
import os
|
||||
import time
|
||||
|
||||
from magic_pdf.libs.boxbase import get_minbox_if_overlap_by_ratio
|
||||
from magic_pdf.libs.ocr_dict_merge import merge_spans
|
||||
from loguru import logger
|
||||
|
||||
from magic_pdf.libs.draw_bbox import draw_layout_bbox, draw_text_bbox
|
||||
from magic_pdf.libs.commons import (
|
||||
read_file,
|
||||
join_path,
|
||||
fitz,
|
||||
get_img_s3_client,
|
||||
get_delta_time,
|
||||
get_docx_model_output,
|
||||
)
|
||||
from magic_pdf.libs.coordinate_transform import get_scale_ratio
|
||||
from magic_pdf.libs.drop_tag import DropTag
|
||||
from magic_pdf.libs.ocr_content_type import ContentType
|
||||
from magic_pdf.libs.safe_filename import sanitize_filename
|
||||
from magic_pdf.para.para_split import para_split
|
||||
from magic_pdf.pre_proc.detect_footer_by_model import parse_footers
|
||||
from magic_pdf.pre_proc.detect_footnote import parse_footnotes_by_model
|
||||
from magic_pdf.pre_proc.detect_header import parse_headers
|
||||
from magic_pdf.pre_proc.detect_page_number import parse_pageNos
|
||||
from magic_pdf.pre_proc.ocr_cut_image import cut_image_and_table
|
||||
from magic_pdf.pre_proc.ocr_detect_layout import layout_detect
|
||||
from magic_pdf.pre_proc.ocr_dict_merge import (
|
||||
merge_spans_to_line_by_layout, merge_lines_to_block,
|
||||
)
|
||||
from magic_pdf.pre_proc.ocr_span_list_modify import remove_spans_by_bboxes, remove_overlaps_min_spans, \
|
||||
adjust_bbox_for_standalone_block, modify_y_axis, modify_inline_equation, get_qa_need_list, \
|
||||
remove_spans_by_bboxes_dict
|
||||
from magic_pdf.pre_proc.remove_bbox_overlap import remove_overlap_between_bbox
|
||||
|
||||
|
||||
def read_json_file(file_path):
|
||||
with open(file_path, 'r') as f:
|
||||
data = json.load(f)
|
||||
return data
|
||||
|
||||
|
||||
def construct_page_component(page_id, text_blocks_preproc):
|
||||
def construct_page_component(blocks, para_blocks, layout_bboxes, page_id, page_w, page_h, layout_tree,
|
||||
images, tables, interline_equations, inline_equations,
|
||||
dropped_text_block, dropped_image_block, dropped_table_block, dropped_equation_block,
|
||||
need_remove_spans_bboxes_dict):
|
||||
return_dict = {
|
||||
'preproc_blocks': text_blocks_preproc,
|
||||
'page_idx': page_id
|
||||
'preproc_blocks': blocks,
|
||||
"para_blocks": para_blocks, # 分好段落的blocks
|
||||
'layout_bboxes': layout_bboxes,
|
||||
'page_idx': page_id,
|
||||
'page_size': [page_w, page_h],
|
||||
'_layout_tree': layout_tree,
|
||||
'images': images,
|
||||
'tables': tables,
|
||||
'interline_equations': interline_equations,
|
||||
'inline_equations': inline_equations,
|
||||
'droped_text_block': dropped_text_block,
|
||||
'droped_image_block': dropped_image_block,
|
||||
'droped_table_block': dropped_table_block,
|
||||
'dropped_equation_block': dropped_equation_block,
|
||||
'droped_bboxes': need_remove_spans_bboxes_dict,
|
||||
}
|
||||
return return_dict
|
||||
|
||||
|
||||
def parse_pdf_by_ocr(
|
||||
ocr_json_file_path,
|
||||
pdf_path,
|
||||
s3_pdf_profile,
|
||||
pdf_model_output,
|
||||
save_path,
|
||||
book_name,
|
||||
pdf_model_profile=None,
|
||||
image_s3_config=None,
|
||||
start_page_id=0,
|
||||
end_page_id=None,
|
||||
debug_mode=False,
|
||||
):
|
||||
ocr_pdf_info = read_json_file(ocr_json_file_path)
|
||||
pdf_bytes = read_file(pdf_path, s3_pdf_profile)
|
||||
save_tmp_path = os.path.join(os.path.dirname(__file__), "../..", "tmp", "unittest")
|
||||
book_name = sanitize_filename(book_name)
|
||||
md_bookname_save_path = ""
|
||||
if debug_mode:
|
||||
save_path = join_path(save_tmp_path, "md")
|
||||
pdf_local_path = join_path(save_tmp_path, "download-pdfs", book_name)
|
||||
|
||||
if not os.path.exists(os.path.dirname(pdf_local_path)):
|
||||
# 如果目录不存在,创建它
|
||||
os.makedirs(os.path.dirname(pdf_local_path))
|
||||
|
||||
md_bookname_save_path = join_path(save_tmp_path, "md", book_name)
|
||||
if not os.path.exists(md_bookname_save_path):
|
||||
# 如果目录不存在,创建它
|
||||
os.makedirs(md_bookname_save_path)
|
||||
|
||||
with open(pdf_local_path + ".pdf", "wb") as pdf_file:
|
||||
pdf_file.write(pdf_bytes)
|
||||
|
||||
pdf_docs = fitz.open("pdf", pdf_bytes)
|
||||
# 初始化空的pdf_info_dict
|
||||
pdf_info_dict = {}
|
||||
end_page_id = end_page_id if end_page_id else len(ocr_pdf_info) - 1
|
||||
img_s3_client = get_img_s3_client(save_path, image_s3_config)
|
||||
|
||||
start_time = time.time()
|
||||
|
||||
|
||||
end_page_id = end_page_id if end_page_id else len(pdf_docs) - 1
|
||||
for page_id in range(start_page_id, end_page_id + 1):
|
||||
ocr_page_info = ocr_pdf_info[page_id]
|
||||
layout_dets = ocr_page_info['layout_dets']
|
||||
|
||||
# 获取当前页的page对象
|
||||
page = pdf_docs[page_id]
|
||||
# 获取当前页的宽高
|
||||
page_w = page.rect.width
|
||||
page_h = page.rect.height
|
||||
|
||||
if debug_mode:
|
||||
time_now = time.time()
|
||||
logger.info(
|
||||
f"page_id: {page_id}, last_page_cost_time: {get_delta_time(start_time)}"
|
||||
)
|
||||
start_time = time_now
|
||||
|
||||
# 获取当前页的模型数据
|
||||
ocr_page_info = get_docx_model_output(
|
||||
pdf_model_output, pdf_model_profile, page_id
|
||||
)
|
||||
|
||||
"""从json中获取每页的页码、页眉、页脚的bbox"""
|
||||
page_no_bboxes = parse_pageNos(page_id, page, ocr_page_info)
|
||||
header_bboxes = parse_headers(page_id, page, ocr_page_info)
|
||||
footer_bboxes = parse_footers(page_id, page, ocr_page_info)
|
||||
footnote_bboxes = parse_footnotes_by_model(
|
||||
page_id, page, ocr_page_info, md_bookname_save_path, debug_mode=debug_mode
|
||||
)
|
||||
|
||||
# 构建需要remove的bbox列表
|
||||
# need_remove_spans_bboxes = []
|
||||
# need_remove_spans_bboxes.extend(page_no_bboxes)
|
||||
# need_remove_spans_bboxes.extend(header_bboxes)
|
||||
# need_remove_spans_bboxes.extend(footer_bboxes)
|
||||
# need_remove_spans_bboxes.extend(footnote_bboxes)
|
||||
|
||||
# 构建需要remove的bbox字典
|
||||
need_remove_spans_bboxes_dict = {
|
||||
DropTag.PAGE_NUMBER: page_no_bboxes,
|
||||
DropTag.HEADER: header_bboxes,
|
||||
DropTag.FOOTER: footer_bboxes,
|
||||
DropTag.FOOTNOTE: footnote_bboxes,
|
||||
}
|
||||
|
||||
layout_dets = ocr_page_info["layout_dets"]
|
||||
spans = []
|
||||
|
||||
# 计算模型坐标和pymu坐标的缩放比例
|
||||
horizontal_scale_ratio, vertical_scale_ratio = get_scale_ratio(
|
||||
ocr_page_info, page
|
||||
)
|
||||
|
||||
for layout_det in layout_dets:
|
||||
category_id = layout_det['category_id']
|
||||
allow_category_id_list = [13, 14, 15]
|
||||
category_id = layout_det["category_id"]
|
||||
allow_category_id_list = [1, 7, 13, 14, 15]
|
||||
if category_id in allow_category_id_list:
|
||||
x0, y0, _, _, x1, y1, _, _ = layout_det['poly']
|
||||
bbox = [int(x0), int(y0), int(x1), int(y1)]
|
||||
# 13: 'embedding', # 嵌入公式
|
||||
# 14: 'isolated', # 单行公式
|
||||
# 15: 'ocr_text', # ocr识别文本
|
||||
x0, y0, _, _, x1, y1, _, _ = layout_det["poly"]
|
||||
bbox = [
|
||||
int(x0 / horizontal_scale_ratio),
|
||||
int(y0 / vertical_scale_ratio),
|
||||
int(x1 / horizontal_scale_ratio),
|
||||
int(y1 / vertical_scale_ratio),
|
||||
]
|
||||
# 删除高度或者宽度为0的spans
|
||||
if bbox[2] - bbox[0] == 0 or bbox[3] - bbox[1] == 0:
|
||||
continue
|
||||
"""要删除的"""
|
||||
# 3: 'header', # 页眉
|
||||
# 4: 'page number', # 页码
|
||||
# 5: 'footnote', # 脚注
|
||||
# 6: 'footer', # 页脚
|
||||
"""当成span拼接的"""
|
||||
# 1: 'image', # 图片
|
||||
# 7: 'table', # 表格
|
||||
# 13: 'inline_equation', # 行内公式
|
||||
# 14: 'interline_equation', # 行间公式
|
||||
# 15: 'text', # ocr识别文本
|
||||
"""layout信息"""
|
||||
# 11: 'full column', # 单栏
|
||||
# 12: 'sub column', # 多栏
|
||||
span = {
|
||||
'bbox': bbox,
|
||||
"bbox": bbox,
|
||||
}
|
||||
if category_id == 13:
|
||||
span['content'] = layout_det['latex']
|
||||
span['type'] = 'inline_equation'
|
||||
if category_id == 1:
|
||||
span["type"] = ContentType.Image
|
||||
|
||||
elif category_id == 7:
|
||||
span["type"] = ContentType.Table
|
||||
|
||||
elif category_id == 13:
|
||||
span["content"] = layout_det["latex"]
|
||||
span["type"] = ContentType.InlineEquation
|
||||
elif category_id == 14:
|
||||
span['content'] = layout_det['latex']
|
||||
span['type'] = 'displayed_equation'
|
||||
span["content"] = layout_det["latex"]
|
||||
span["type"] = ContentType.InterlineEquation
|
||||
elif category_id == 15:
|
||||
span['content'] = layout_det['text']
|
||||
span['type'] = 'text'
|
||||
span["content"] = layout_det["text"]
|
||||
span["type"] = ContentType.Text
|
||||
# print(span)
|
||||
spans.append(span)
|
||||
else:
|
||||
continue
|
||||
|
||||
# 合并重叠的spans
|
||||
for span1 in spans.copy():
|
||||
for span2 in spans.copy():
|
||||
if span1 != span2:
|
||||
overlap_box = get_minbox_if_overlap_by_ratio(span1['bbox'], span2['bbox'], 0.8)
|
||||
if overlap_box is not None:
|
||||
bbox_to_remove = next((span for span in spans if span['bbox'] == overlap_box), None)
|
||||
if bbox_to_remove is not None:
|
||||
spans.remove(bbox_to_remove)
|
||||
|
||||
# 将spans合并成line
|
||||
lines = merge_spans(spans)
|
||||
|
||||
# 目前不做block拼接,先做个结构,每个block中只有一个line,block的bbox就是line的bbox
|
||||
blocks = []
|
||||
for line in lines:
|
||||
blocks.append({
|
||||
"bbox": line['bbox'],
|
||||
"lines": [line],
|
||||
})
|
||||
|
||||
# 删除重叠spans中较小的那些
|
||||
spans, dropped_spans_by_span_overlap = remove_overlaps_min_spans(spans)
|
||||
|
||||
# 删除remove_span_block_bboxes中的bbox
|
||||
# spans = remove_spans_by_bboxes(spans, need_remove_spans_bboxes)
|
||||
# 按qa要求,增加drop相关数据
|
||||
spans, dropped_spans_by_removed_bboxes = remove_spans_by_bboxes_dict(spans, need_remove_spans_bboxes_dict)
|
||||
|
||||
# 对image和table截图
|
||||
spans = cut_image_and_table(spans, page, page_id, book_name, save_path, img_s3_client)
|
||||
|
||||
# 行内公式调整, 高度调整至与同行文字高度一致(优先左侧, 其次右侧)
|
||||
displayed_list = []
|
||||
text_inline_lines = []
|
||||
modify_y_axis(spans, displayed_list, text_inline_lines)
|
||||
# 模型识别错误的行间公式, type类型转换成行内公式
|
||||
spans = modify_inline_equation(spans, displayed_list, text_inline_lines)
|
||||
|
||||
# bbox去除粘连
|
||||
spans = remove_overlap_between_bbox(spans)
|
||||
|
||||
# 对tpye=["interline_equation", "image", "table"]进行额外处理,如果左边有字的话,将该span的bbox中y0调整至不高于文字的y0
|
||||
spans = adjust_bbox_for_standalone_block(spans)
|
||||
|
||||
|
||||
# 从ocr_page_info中解析layout信息(按自然阅读方向排序,并修复重叠和交错的bad case)
|
||||
layout_bboxes, layout_tree = layout_detect(ocr_page_info['subfield_dets'], page, ocr_page_info)
|
||||
|
||||
# 将spans合并成line(在layout内,从上到下,从左到右)
|
||||
lines, dropped_spans_by_layout = merge_spans_to_line_by_layout(spans, layout_bboxes)
|
||||
|
||||
# 将lines合并成block
|
||||
blocks = merge_lines_to_block(lines)
|
||||
|
||||
# 根据block合并段落
|
||||
para_blocks = para_split(blocks, layout_bboxes)
|
||||
|
||||
# 获取QA需要外置的list
|
||||
images, tables, interline_equations, inline_equations = get_qa_need_list(blocks)
|
||||
|
||||
# drop的span_list合并
|
||||
dropped_spans = []
|
||||
dropped_spans.extend(dropped_spans_by_span_overlap)
|
||||
dropped_spans.extend(dropped_spans_by_removed_bboxes)
|
||||
dropped_spans.extend(dropped_spans_by_layout)
|
||||
|
||||
dropped_text_block = []
|
||||
dropped_image_block = []
|
||||
dropped_table_block = []
|
||||
dropped_equation_block = []
|
||||
for span in dropped_spans:
|
||||
# drop出的spans进行分类
|
||||
if span['type'] == ContentType.Text:
|
||||
dropped_text_block.append(span)
|
||||
elif span['type'] == ContentType.Image:
|
||||
dropped_image_block.append(span)
|
||||
elif span['type'] == ContentType.Table:
|
||||
dropped_table_block.append(span)
|
||||
elif span['type'] in [ContentType.InlineEquation, ContentType.InterlineEquation]:
|
||||
dropped_equation_block.append(span)
|
||||
|
||||
|
||||
|
||||
# 构造pdf_info_dict
|
||||
page_info = construct_page_component(page_id, blocks)
|
||||
page_info = construct_page_component(blocks, para_blocks, layout_bboxes, page_id, page_w, page_h, layout_tree,
|
||||
images, tables, interline_equations, inline_equations,
|
||||
dropped_text_block, dropped_image_block, dropped_table_block, dropped_equation_block,
|
||||
need_remove_spans_bboxes_dict)
|
||||
pdf_info_dict[f"page_{page_id}"] = page_info
|
||||
|
||||
return pdf_info_dict
|
||||
# 在测试时,保存调试信息
|
||||
if debug_mode:
|
||||
params_file_save_path = join_path(
|
||||
save_tmp_path, "md", book_name, "preproc_out.json"
|
||||
)
|
||||
with open(params_file_save_path, "w", encoding="utf-8") as f:
|
||||
json.dump(pdf_info_dict, f, ensure_ascii=False, indent=4)
|
||||
|
||||
# drow_bbox
|
||||
draw_layout_bbox(pdf_info_dict, pdf_path, md_bookname_save_path)
|
||||
draw_text_bbox(pdf_info_dict, pdf_path, md_bookname_save_path)
|
||||
|
||||
return pdf_info_dict
|
||||
|
||||
@@ -3,16 +3,18 @@ import sys
|
||||
import time
|
||||
from urllib.parse import quote
|
||||
|
||||
from magic_pdf.libs.commons import read_file, join_path, parse_bucket_key, formatted_time
|
||||
from magic_pdf.dict2md.ocr_mkcontent import ocr_mk_nlp_markdown, ocr_mk_mm_markdown, ocr_mk_mm_standard_format
|
||||
from magic_pdf.libs.commons import read_file, join_path, parse_bucket_key, formatted_time, s3_image_save_path
|
||||
from magic_pdf.libs.drop_reason import DropReason
|
||||
from magic_pdf.libs.json_compressor import JsonCompressor
|
||||
from magic_pdf.dict2md.mkcontent import mk_nlp_markdown
|
||||
from magic_pdf.dict2md.mkcontent import mk_nlp_markdown, mk_universal_format
|
||||
from magic_pdf.pdf_parse_by_model import parse_pdf_by_model
|
||||
from magic_pdf.filter.pdf_classify_by_type import classify
|
||||
from magic_pdf.filter.pdf_meta_scan import pdf_meta_scan
|
||||
from loguru import logger
|
||||
|
||||
from app.common.s3 import get_s3_config, get_s3_client
|
||||
from magic_pdf.pdf_parse_by_ocr import parse_pdf_by_ocr
|
||||
|
||||
|
||||
def exception_handler(jso: dict, e):
|
||||
@@ -23,6 +25,27 @@ def exception_handler(jso: dict, e):
|
||||
return jso
|
||||
|
||||
|
||||
def get_data_type(jso: dict):
|
||||
data_type = jso.get('data_type')
|
||||
if data_type is None:
|
||||
data_type = jso.get('file_type')
|
||||
return data_type
|
||||
|
||||
|
||||
def get_bookid(jso: dict):
|
||||
book_id = jso.get('bookid')
|
||||
if book_id is None:
|
||||
book_id = jso.get('original_file_id')
|
||||
return book_id
|
||||
|
||||
|
||||
def get_data_source(jso: dict):
|
||||
data_source = jso.get('data_source')
|
||||
if data_source is None:
|
||||
data_source = jso.get('file_source')
|
||||
return data_source
|
||||
|
||||
|
||||
def meta_scan(jso: dict, doc_layout_check=True) -> dict:
|
||||
s3_pdf_path = jso.get('file_location')
|
||||
s3_config = get_s3_config(s3_pdf_path)
|
||||
@@ -32,9 +55,9 @@ def meta_scan(jso: dict, doc_layout_check=True) -> dict:
|
||||
jso['drop_reason'] = DropReason.MISS_DOC_LAYOUT_RESULT
|
||||
return jso
|
||||
try:
|
||||
data_source = jso.get('data_source')
|
||||
data_source = get_data_source(jso)
|
||||
file_id = jso.get('file_id')
|
||||
book_name = data_source + "/" + file_id
|
||||
book_name = f"{data_source}/{file_id}"
|
||||
|
||||
# 首页存在超量drawing问题
|
||||
# special_pdf_list = ['zlib/zlib_21822650']
|
||||
@@ -78,9 +101,9 @@ def classify_by_type(jso: dict, debug_mode=False) -> dict:
|
||||
# 开始正式逻辑
|
||||
try:
|
||||
pdf_meta = jso.get('pdf_meta')
|
||||
data_source = jso.get('data_source')
|
||||
data_source = get_data_source(jso)
|
||||
file_id = jso.get('file_id')
|
||||
book_name = data_source + "/" + file_id
|
||||
book_name = f"{data_source}/{file_id}"
|
||||
total_page = pdf_meta["total_page"]
|
||||
page_width = pdf_meta["page_width_pts"]
|
||||
page_height = pdf_meta["page_height_pts"]
|
||||
@@ -140,13 +163,13 @@ def save_tables_to_s3(jso: dict, debug_mode=False) -> dict:
|
||||
pass
|
||||
else:# 如果debug没开,则检测是否有needdrop字段
|
||||
if jso.get('need_drop', False):
|
||||
logger.info(f"book_name is:{jso['data_source']}/{jso['file_id']} need drop", file=sys.stderr)
|
||||
logger.info(f"book_name is:{get_data_source(jso)}/{jso['file_id']} need drop", file=sys.stderr)
|
||||
jso["dropped"] = True
|
||||
return jso
|
||||
try:
|
||||
data_source = jso.get('data_source')
|
||||
data_source = get_data_source(jso)
|
||||
file_id = jso.get('file_id')
|
||||
book_name = data_source + "/" + file_id
|
||||
book_name = f"{data_source}/{file_id}"
|
||||
title = jso.get('title')
|
||||
url_encode_title = quote(title, safe='')
|
||||
if data_source != 'scihub':
|
||||
@@ -195,7 +218,7 @@ def save_tables_to_s3(jso: dict, debug_mode=False) -> dict:
|
||||
|
||||
def drop_needdrop_pdf(jso: dict) -> dict:
|
||||
if jso.get('need_drop', False):
|
||||
logger.info(f"book_name is:{jso['data_source']}/{jso['file_id']} need drop", file=sys.stderr)
|
||||
logger.info(f"book_name is:{get_data_source(jso)}/{jso['file_id']} need drop", file=sys.stderr)
|
||||
jso["dropped"] = True
|
||||
return jso
|
||||
|
||||
@@ -206,7 +229,7 @@ def pdf_intermediate_dict_to_markdown(jso: dict, debug_mode=False) -> dict:
|
||||
pass
|
||||
else:# 如果debug没开,则检测是否有needdrop字段
|
||||
if jso.get('need_drop', False):
|
||||
book_name = join_path(jso['data_source'], jso['file_id'])
|
||||
book_name = join_path(get_data_source(jso), jso['file_id'])
|
||||
logger.info(f"book_name is:{book_name} need drop", file=sys.stderr)
|
||||
jso["dropped"] = True
|
||||
return jso
|
||||
@@ -214,9 +237,10 @@ def pdf_intermediate_dict_to_markdown(jso: dict, debug_mode=False) -> dict:
|
||||
pdf_intermediate_dict = jso['pdf_intermediate_dict']
|
||||
# 将 pdf_intermediate_dict 解压
|
||||
pdf_intermediate_dict = JsonCompressor.decompress_json(pdf_intermediate_dict)
|
||||
markdown_content = mk_nlp_markdown(pdf_intermediate_dict)
|
||||
jso["content"] = markdown_content
|
||||
logger.info(f"book_name is:{jso['data_source']}/{jso['file_id']},markdown content length is {len(markdown_content)}", file=sys.stderr)
|
||||
#markdown_content = mk_nlp_markdown(pdf_intermediate_dict)
|
||||
jso['content_list'] = mk_universal_format(pdf_intermediate_dict)
|
||||
#jso["content"] = markdown_content
|
||||
logger.info(f"book_name is:{get_data_source(jso)}/{jso['file_id']}")
|
||||
# 把无用的信息清空
|
||||
jso["doc_layout_result"] = ""
|
||||
jso["pdf_intermediate_dict"] = ""
|
||||
@@ -237,9 +261,9 @@ def parse_pdf(jso: dict, start_page_id=0, debug_mode=False) -> dict:
|
||||
s3_pdf_path = jso.get('file_location')
|
||||
s3_config = get_s3_config(s3_pdf_path)
|
||||
model_output_json_list = jso.get('doc_layout_result')
|
||||
data_source = jso.get('data_source')
|
||||
data_source = get_data_source(jso)
|
||||
file_id = jso.get('file_id')
|
||||
book_name = data_source + "/" + file_id
|
||||
book_name = f"{data_source}/{file_id}"
|
||||
|
||||
# 1.23.22已修复
|
||||
# if debug_mode:
|
||||
@@ -264,7 +288,7 @@ def parse_pdf(jso: dict, start_page_id=0, debug_mode=False) -> dict:
|
||||
# jso['drop_reason'] = DropReason.HIGH_COMPUTATIONAL_lOAD_BY_TOTAL_PAGES
|
||||
else:
|
||||
try:
|
||||
save_path = "s3://mllm-raw-media/pdf2md_img/"
|
||||
save_path = s3_image_save_path
|
||||
image_s3_config = get_s3_config(save_path)
|
||||
start_time = time.time() # 记录开始时间
|
||||
# 先打印一下book_name和解析开始的时间
|
||||
@@ -290,5 +314,165 @@ def parse_pdf(jso: dict, start_page_id=0, debug_mode=False) -> dict:
|
||||
return jso
|
||||
|
||||
|
||||
def ocr_parse_pdf(jso: dict, start_page_id=0, debug_mode=False) -> dict:
|
||||
# 检测debug开关
|
||||
if debug_mode:
|
||||
pass
|
||||
else: # 如果debug没开,则检测是否有needdrop字段
|
||||
if jso.get('need_drop', False):
|
||||
return jso
|
||||
|
||||
s3_pdf_path = jso.get('file_location')
|
||||
s3_config = get_s3_config(s3_pdf_path)
|
||||
model_output_json_list = jso.get('doc_layout_result')
|
||||
data_source = get_data_source(jso)
|
||||
file_id = jso.get('file_id')
|
||||
book_name = f"{data_source}/{file_id}"
|
||||
try:
|
||||
save_path = s3_image_save_path
|
||||
image_s3_config = get_s3_config(save_path)
|
||||
start_time = time.time() # 记录开始时间
|
||||
# 先打印一下book_name和解析开始的时间
|
||||
logger.info(f"book_name is:{book_name},start_time is:{formatted_time(start_time)}", file=sys.stderr)
|
||||
pdf_info_dict = parse_pdf_by_ocr(
|
||||
s3_pdf_path,
|
||||
s3_config,
|
||||
model_output_json_list,
|
||||
save_path,
|
||||
book_name,
|
||||
pdf_model_profile=None,
|
||||
image_s3_config=image_s3_config,
|
||||
start_page_id=start_page_id,
|
||||
debug_mode=debug_mode
|
||||
)
|
||||
if pdf_info_dict.get('need_drop', False): # 如果返回的字典里有need_drop,则提取drop_reason并跳过本次解析
|
||||
jso['need_drop'] = True
|
||||
jso['drop_reason'] = pdf_info_dict["drop_reason"]
|
||||
else: # 正常返回,将 pdf_info_dict 压缩并存储
|
||||
pdf_info_dict = JsonCompressor.compress_json(pdf_info_dict)
|
||||
jso['pdf_intermediate_dict'] = pdf_info_dict
|
||||
end_time = time.time() # 记录完成时间
|
||||
parse_time = int(end_time - start_time) # 计算执行时间
|
||||
# 解析完成后打印一下book_name和耗时
|
||||
logger.info(f"book_name is:{book_name},end_time is:{formatted_time(end_time)},cost_time is:{parse_time}",
|
||||
file=sys.stderr)
|
||||
jso['parse_time'] = parse_time
|
||||
except Exception as e:
|
||||
jso = exception_handler(jso, e)
|
||||
return jso
|
||||
|
||||
|
||||
def ocr_pdf_intermediate_dict_to_markdown(jso: dict, debug_mode=False) -> dict:
|
||||
|
||||
if debug_mode:
|
||||
pass
|
||||
else: # 如果debug没开,则检测是否有needdrop字段
|
||||
if jso.get('need_drop', False):
|
||||
book_name = join_path(get_data_source(jso), jso['file_id'])
|
||||
logger.info(f"book_name is:{book_name} need drop", file=sys.stderr)
|
||||
jso["dropped"] = True
|
||||
return jso
|
||||
try:
|
||||
pdf_intermediate_dict = jso['pdf_intermediate_dict']
|
||||
# 将 pdf_intermediate_dict 解压
|
||||
pdf_intermediate_dict = JsonCompressor.decompress_json(pdf_intermediate_dict)
|
||||
markdown_content = ocr_mk_mm_markdown(pdf_intermediate_dict)
|
||||
jso["content"] = markdown_content
|
||||
logger.info(f"book_name is:{get_data_source(jso)}/{jso['file_id']},markdown content length is {len(markdown_content)}", file=sys.stderr)
|
||||
# 把无用的信息清空
|
||||
jso["doc_layout_result"] = ""
|
||||
jso["pdf_intermediate_dict"] = ""
|
||||
jso["pdf_meta"] = ""
|
||||
except Exception as e:
|
||||
jso = exception_handler(jso, e)
|
||||
return jso
|
||||
|
||||
|
||||
def ocr_pdf_intermediate_dict_to_standard_format(jso: dict, debug_mode=False) -> dict:
|
||||
|
||||
if debug_mode:
|
||||
pass
|
||||
else: # 如果debug没开,则检测是否有needdrop字段
|
||||
if jso.get('need_drop', False):
|
||||
book_name = join_path(get_data_source(jso), jso['file_id'])
|
||||
logger.info(f"book_name is:{book_name} need drop", file=sys.stderr)
|
||||
jso["dropped"] = True
|
||||
return jso
|
||||
try:
|
||||
pdf_intermediate_dict = jso['pdf_intermediate_dict']
|
||||
# 将 pdf_intermediate_dict 解压
|
||||
pdf_intermediate_dict = JsonCompressor.decompress_json(pdf_intermediate_dict)
|
||||
standard_format = ocr_mk_mm_standard_format(pdf_intermediate_dict)
|
||||
jso["content_list"] = standard_format
|
||||
logger.info(f"book_name is:{get_data_source(jso)}/{jso['file_id']},content_list length is {len(standard_format)}", file=sys.stderr)
|
||||
# 把无用的信息清空
|
||||
jso["doc_layout_result"] = ""
|
||||
jso["pdf_intermediate_dict"] = ""
|
||||
jso["pdf_meta"] = ""
|
||||
except Exception as e:
|
||||
jso = exception_handler(jso, e)
|
||||
return jso
|
||||
|
||||
|
||||
'''
|
||||
统一处理逻辑
|
||||
1.先调用parse_pdf对文本类pdf进行处理
|
||||
2.再调用ocr_dropped_parse_pdf,对之前drop的pdf进行处理
|
||||
'''
|
||||
def uni_parse_pdf(jso: dict, start_page_id=0, debug_mode=False) -> dict:
|
||||
jso = parse_pdf(jso, start_page_id=start_page_id, debug_mode=debug_mode)
|
||||
jso = ocr_dropped_parse_pdf(jso, start_page_id=start_page_id, debug_mode=debug_mode)
|
||||
return jso
|
||||
|
||||
|
||||
def ocr_dropped_parse_pdf(jso: dict, start_page_id=0, debug_mode=False) -> dict:
|
||||
# 检测debug开关
|
||||
if debug_mode:
|
||||
pass
|
||||
else: # 如果debug没开,则检测是否有needdrop字段
|
||||
if not jso.get('need_drop', False):
|
||||
return jso
|
||||
else:
|
||||
s3_pdf_path = jso.get('file_location')
|
||||
s3_config = get_s3_config(s3_pdf_path)
|
||||
model_output_json_list = jso.get('doc_layout_result')
|
||||
data_source = get_data_source(jso)
|
||||
file_id = jso.get('file_id')
|
||||
book_name = f"{data_source}/{file_id}"
|
||||
try:
|
||||
save_path = s3_image_save_path
|
||||
image_s3_config = get_s3_config(save_path)
|
||||
start_time = time.time() # 记录开始时间
|
||||
# 先打印一下book_name和解析开始的时间
|
||||
logger.info(f"book_name is:{book_name},start_time is:{formatted_time(start_time)}", file=sys.stderr)
|
||||
pdf_info_dict = parse_pdf_by_ocr(
|
||||
s3_pdf_path,
|
||||
s3_config,
|
||||
model_output_json_list,
|
||||
save_path,
|
||||
book_name,
|
||||
pdf_model_profile=None,
|
||||
image_s3_config=image_s3_config,
|
||||
start_page_id=start_page_id,
|
||||
debug_mode=debug_mode
|
||||
)
|
||||
if pdf_info_dict.get('need_drop', False): # 如果返回的字典里有need_drop,则提取drop_reason并跳过本次解析
|
||||
jso['need_drop'] = True
|
||||
jso['drop_reason'] = pdf_info_dict["drop_reason"]
|
||||
else: # 正常返回,将 pdf_info_dict 压缩并存储
|
||||
pdf_info_dict = JsonCompressor.compress_json(pdf_info_dict)
|
||||
jso['pdf_intermediate_dict'] = pdf_info_dict
|
||||
end_time = time.time() # 记录完成时间
|
||||
parse_time = int(end_time - start_time) # 计算执行时间
|
||||
# 解析完成后打印一下book_name和耗时
|
||||
logger.info(
|
||||
f"book_name is:{book_name},end_time is:{formatted_time(end_time)},cost_time is:{parse_time}",
|
||||
file=sys.stderr)
|
||||
jso['parse_time'] = parse_time
|
||||
except Exception as e:
|
||||
jso = exception_handler(jso, e)
|
||||
return jso
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
pass
|
||||
|
||||
@@ -1,4 +1,5 @@
|
||||
from magic_pdf.libs.commons import fitz # pyMuPDF库
|
||||
from magic_pdf.libs.coordinate_transform import get_scale_ratio
|
||||
|
||||
|
||||
def parse_footers(page_ID: int, page: fitz.Page, json_from_DocXchain_obj: dict):
|
||||
@@ -8,23 +9,12 @@ def parse_footers(page_ID: int, page: fitz.Page, json_from_DocXchain_obj: dict):
|
||||
:param res_dir_path: str类型,是每一个pdf文档,在当前.py文件的目录下生成一个与pdf文档同名的文件夹,res_dir_path就是文件夹的dir
|
||||
:param json_from_DocXchain_obj: dict类型,把pdf文档送入DocXChain模型中后,提取bbox,结果保存到pdf文档同名文件夹下的 page_ID.json文件中了。json_from_DocXchain_obj就是打开后的dict
|
||||
"""
|
||||
DPI = 72 # use this resolution
|
||||
pix = page.get_pixmap(dpi=DPI)
|
||||
pageL = 0
|
||||
pageR = int(pix.w)
|
||||
pageU = 0
|
||||
pageD = int(pix.h)
|
||||
|
||||
|
||||
#--------- 通过json_from_DocXchain来获取 footer ---------#
|
||||
footer_bbox_from_DocXChain = []
|
||||
|
||||
|
||||
xf_json = json_from_DocXchain_obj
|
||||
width_from_json = xf_json['page_info']['width']
|
||||
height_from_json = xf_json['page_info']['height']
|
||||
LR_scaleRatio = width_from_json / (pageR - pageL)
|
||||
UD_scaleRatio = height_from_json / (pageD - pageU)
|
||||
horizontal_scale_ratio, vertical_scale_ratio = get_scale_ratio(xf_json, page)
|
||||
|
||||
# {0: 'title', # 标题
|
||||
# 1: 'figure', # 图片
|
||||
@@ -42,10 +32,10 @@ def parse_footers(page_ID: int, page: fitz.Page, json_from_DocXchain_obj: dict):
|
||||
# 13: 'embedding', # 嵌入公式
|
||||
# 14: 'isolated'} # 单行公式
|
||||
for xf in xf_json['layout_dets']:
|
||||
L = xf['poly'][0] / LR_scaleRatio
|
||||
U = xf['poly'][1] / UD_scaleRatio
|
||||
R = xf['poly'][2] / LR_scaleRatio
|
||||
D = xf['poly'][5] / UD_scaleRatio
|
||||
L = xf['poly'][0] / horizontal_scale_ratio
|
||||
U = xf['poly'][1] / vertical_scale_ratio
|
||||
R = xf['poly'][2] / horizontal_scale_ratio
|
||||
D = xf['poly'][5] / vertical_scale_ratio
|
||||
# L += pageL # 有的页面,artBox偏移了。不在(0,0)
|
||||
# R += pageL
|
||||
# U += pageU
|
||||
|
||||
@@ -1,5 +1,6 @@
|
||||
from collections import Counter
|
||||
from magic_pdf.libs.commons import fitz # pyMuPDF库
|
||||
from magic_pdf.libs.coordinate_transform import get_scale_ratio
|
||||
|
||||
|
||||
def parse_footnotes_by_model(page_ID: int, page: fitz.Page, json_from_DocXchain_obj: dict, md_bookname_save_path, debug_mode=False):
|
||||
@@ -9,22 +10,12 @@ def parse_footnotes_by_model(page_ID: int, page: fitz.Page, json_from_DocXchain_
|
||||
:param res_dir_path: str类型,是每一个pdf文档,在当前.py文件的目录下生成一个与pdf文档同名的文件夹,res_dir_path就是文件夹的dir
|
||||
:param json_from_DocXchain_obj: dict类型,把pdf文档送入DocXChain模型中后,提取bbox,结果保存到pdf文档同名文件夹下的 page_ID.json文件中了。json_from_DocXchain_obj就是打开后的dict
|
||||
"""
|
||||
DPI = 72 # use this resolution
|
||||
pix = page.get_pixmap(dpi=DPI)
|
||||
pageL = 0
|
||||
pageR = int(pix.w)
|
||||
pageU = 0
|
||||
pageD = int(pix.h)
|
||||
|
||||
|
||||
#--------- 通过json_from_DocXchain来获取 footnote ---------#
|
||||
footnote_bbox_from_DocXChain = []
|
||||
|
||||
xf_json = json_from_DocXchain_obj
|
||||
width_from_json = xf_json['page_info']['width']
|
||||
height_from_json = xf_json['page_info']['height']
|
||||
LR_scaleRatio = width_from_json / (pageR - pageL)
|
||||
UD_scaleRatio = height_from_json / (pageD - pageU)
|
||||
horizontal_scale_ratio, vertical_scale_ratio = get_scale_ratio(xf_json, page)
|
||||
|
||||
# {0: 'title', # 标题
|
||||
# 1: 'figure', # 图片
|
||||
@@ -42,10 +33,10 @@ def parse_footnotes_by_model(page_ID: int, page: fitz.Page, json_from_DocXchain_
|
||||
# 13: 'embedding', # 嵌入公式
|
||||
# 14: 'isolated'} # 单行公式
|
||||
for xf in xf_json['layout_dets']:
|
||||
L = xf['poly'][0] / LR_scaleRatio
|
||||
U = xf['poly'][1] / UD_scaleRatio
|
||||
R = xf['poly'][2] / LR_scaleRatio
|
||||
D = xf['poly'][5] / UD_scaleRatio
|
||||
L = xf['poly'][0] / horizontal_scale_ratio
|
||||
U = xf['poly'][1] / vertical_scale_ratio
|
||||
R = xf['poly'][2] / horizontal_scale_ratio
|
||||
D = xf['poly'][5] / vertical_scale_ratio
|
||||
# L += pageL # 有的页面,artBox偏移了。不在(0,0)
|
||||
# R += pageL
|
||||
# U += pageU
|
||||
|
||||
@@ -1,4 +1,5 @@
|
||||
from magic_pdf.libs.commons import fitz # pyMuPDF库
|
||||
from magic_pdf.libs.coordinate_transform import get_scale_ratio
|
||||
|
||||
|
||||
def parse_headers(page_ID: int, page: fitz.Page, json_from_DocXchain_obj: dict):
|
||||
@@ -8,22 +9,12 @@ def parse_headers(page_ID: int, page: fitz.Page, json_from_DocXchain_obj: dict):
|
||||
:param res_dir_path: str类型,是每一个pdf文档,在当前.py文件的目录下生成一个与pdf文档同名的文件夹,res_dir_path就是文件夹的dir
|
||||
:param json_from_DocXchain_obj: dict类型,把pdf文档送入DocXChain模型中后,提取bbox,结果保存到pdf文档同名文件夹下的 page_ID.json文件中了。json_from_DocXchain_obj就是打开后的dict
|
||||
"""
|
||||
DPI = 72 # use this resolution
|
||||
pix = page.get_pixmap(dpi=DPI)
|
||||
pageL = 0
|
||||
pageR = int(pix.w)
|
||||
pageU = 0
|
||||
pageD = int(pix.h)
|
||||
|
||||
|
||||
#--------- 通过json_from_DocXchain来获取 header ---------#
|
||||
header_bbox_from_DocXChain = []
|
||||
|
||||
xf_json = json_from_DocXchain_obj
|
||||
width_from_json = xf_json['page_info']['width']
|
||||
height_from_json = xf_json['page_info']['height']
|
||||
LR_scaleRatio = width_from_json / (pageR - pageL)
|
||||
UD_scaleRatio = height_from_json / (pageD - pageU)
|
||||
horizontal_scale_ratio, vertical_scale_ratio = get_scale_ratio(xf_json, page)
|
||||
|
||||
# {0: 'title', # 标题
|
||||
# 1: 'figure', # 图片
|
||||
@@ -41,10 +32,10 @@ def parse_headers(page_ID: int, page: fitz.Page, json_from_DocXchain_obj: dict):
|
||||
# 13: 'embedding', # 嵌入公式
|
||||
# 14: 'isolated'} # 单行公式
|
||||
for xf in xf_json['layout_dets']:
|
||||
L = xf['poly'][0] / LR_scaleRatio
|
||||
U = xf['poly'][1] / UD_scaleRatio
|
||||
R = xf['poly'][2] / LR_scaleRatio
|
||||
D = xf['poly'][5] / UD_scaleRatio
|
||||
L = xf['poly'][0] / horizontal_scale_ratio
|
||||
U = xf['poly'][1] / vertical_scale_ratio
|
||||
R = xf['poly'][2] / horizontal_scale_ratio
|
||||
D = xf['poly'][5] / vertical_scale_ratio
|
||||
# L += pageL # 有的页面,artBox偏移了。不在(0,0)
|
||||
# R += pageL
|
||||
# U += pageU
|
||||
|
||||
@@ -1,4 +1,5 @@
|
||||
from magic_pdf.libs.commons import fitz # pyMuPDF库
|
||||
from magic_pdf.libs.coordinate_transform import get_scale_ratio
|
||||
|
||||
|
||||
def parse_pageNos(page_ID: int, page: fitz.Page, json_from_DocXchain_obj: dict):
|
||||
@@ -8,22 +9,12 @@ def parse_pageNos(page_ID: int, page: fitz.Page, json_from_DocXchain_obj: dict):
|
||||
:param res_dir_path: str类型,是每一个pdf文档,在当前.py文件的目录下生成一个与pdf文档同名的文件夹,res_dir_path就是文件夹的dir
|
||||
:param json_from_DocXchain_obj: dict类型,把pdf文档送入DocXChain模型中后,提取bbox,结果保存到pdf文档同名文件夹下的 page_ID.json文件中了。json_from_DocXchain_obj就是打开后的dict
|
||||
"""
|
||||
DPI = 72 # use this resolution
|
||||
pix = page.get_pixmap(dpi=DPI)
|
||||
pageL = 0
|
||||
pageR = int(pix.w)
|
||||
pageU = 0
|
||||
pageD = int(pix.h)
|
||||
|
||||
|
||||
#--------- 通过json_from_DocXchain来获取 pageNo ---------#
|
||||
pageNo_bbox_from_DocXChain = []
|
||||
|
||||
xf_json = json_from_DocXchain_obj
|
||||
width_from_json = xf_json['page_info']['width']
|
||||
height_from_json = xf_json['page_info']['height']
|
||||
LR_scaleRatio = width_from_json / (pageR - pageL)
|
||||
UD_scaleRatio = height_from_json / (pageD - pageU)
|
||||
horizontal_scale_ratio, vertical_scale_ratio = get_scale_ratio(xf_json, page)
|
||||
|
||||
# {0: 'title', # 标题
|
||||
# 1: 'figure', # 图片
|
||||
@@ -41,10 +32,10 @@ def parse_pageNos(page_ID: int, page: fitz.Page, json_from_DocXchain_obj: dict):
|
||||
# 13: 'embedding', # 嵌入公式
|
||||
# 14: 'isolated'} # 单行公式
|
||||
for xf in xf_json['layout_dets']:
|
||||
L = xf['poly'][0] / LR_scaleRatio
|
||||
U = xf['poly'][1] / UD_scaleRatio
|
||||
R = xf['poly'][2] / LR_scaleRatio
|
||||
D = xf['poly'][5] / UD_scaleRatio
|
||||
L = xf['poly'][0] / horizontal_scale_ratio
|
||||
U = xf['poly'][1] / vertical_scale_ratio
|
||||
R = xf['poly'][2] / horizontal_scale_ratio
|
||||
D = xf['poly'][5] / vertical_scale_ratio
|
||||
# L += pageL # 有的页面,artBox偏移了。不在(0,0)
|
||||
# R += pageL
|
||||
# U += pageU
|
||||
|
||||
@@ -6,9 +6,10 @@ import json
|
||||
import os
|
||||
from pathlib import Path
|
||||
from loguru import logger
|
||||
from magic_pdf.libs.ocr_content_type import ContentType
|
||||
|
||||
TYPE_INLINE_EQUATION = "inline-equation"
|
||||
TYPE_INTERLINE_EQUATION = "interline-equation"
|
||||
TYPE_INLINE_EQUATION = ContentType.InlineEquation
|
||||
TYPE_INTERLINE_EQUATION = ContentType.InterlineEquation
|
||||
|
||||
|
||||
def combine_chars_to_pymudict(block_dict, char_dict):
|
||||
|
||||
20
magic_pdf/pre_proc/ocr_cut_image.py
Normal file
20
magic_pdf/pre_proc/ocr_cut_image.py
Normal file
@@ -0,0 +1,20 @@
|
||||
from magic_pdf.libs.commons import join_path
|
||||
from magic_pdf.libs.ocr_content_type import ContentType
|
||||
from magic_pdf.libs.pdf_image_tools import cut_image
|
||||
|
||||
|
||||
def cut_image_and_table(spans, page, page_id, book_name, save_path, img_s3_client):
|
||||
def s3_return_path(type):
|
||||
return join_path(book_name, type)
|
||||
|
||||
def img_save_path(type):
|
||||
return join_path(save_path, s3_return_path(type))
|
||||
|
||||
for span in spans:
|
||||
span_type = span['type']
|
||||
if span_type == ContentType.Image:
|
||||
span['image_path'] = cut_image(span['bbox'], page_id, page, img_save_path('images'), s3_return_path=s3_return_path('images'), img_s3_client=img_s3_client)
|
||||
elif span_type == ContentType.Table:
|
||||
span['image_path'] = cut_image(span['bbox'], page_id, page, img_save_path('tables'), s3_return_path=s3_return_path('tables'), img_s3_client=img_s3_client)
|
||||
|
||||
return spans
|
||||
133
magic_pdf/pre_proc/ocr_detect_layout.py
Normal file
133
magic_pdf/pre_proc/ocr_detect_layout.py
Normal file
@@ -0,0 +1,133 @@
|
||||
import fitz
|
||||
|
||||
from magic_pdf.layout.layout_sort import get_bboxes_layout
|
||||
from magic_pdf.libs.boxbase import _is_part_overlap, _is_in
|
||||
from magic_pdf.libs.coordinate_transform import get_scale_ratio
|
||||
|
||||
|
||||
def get_center_point(bbox):
|
||||
"""
|
||||
根据边界框坐标信息,计算出该边界框的中心点坐标。
|
||||
Args:
|
||||
bbox (list): 边界框坐标信息,包含四个元素,分别为左上角x坐标、左上角y坐标、右下角x坐标、右下角y坐标。
|
||||
Returns:
|
||||
list: 中心点坐标信息,包含两个元素,分别为x坐标和y坐标。
|
||||
"""
|
||||
return [(bbox[0] + bbox[2]) / 2, (bbox[1] + bbox[3]) / 2]
|
||||
|
||||
|
||||
def get_area(bbox):
|
||||
"""
|
||||
根据边界框坐标信息,计算出该边界框的面积。
|
||||
Args:
|
||||
bbox (list): 边界框坐标信息,包含四个元素,分别为左上角x坐标、左上角y坐标、右下角x坐标、右下角y坐标。
|
||||
Returns:
|
||||
float: 该边界框的面积。
|
||||
"""
|
||||
return (bbox[2] - bbox[0]) * (bbox[3] - bbox[1])
|
||||
|
||||
|
||||
def adjust_layouts(layout_bboxes, page_boundry, page_id):
|
||||
# 遍历所有布局框
|
||||
for i in range(len(layout_bboxes)):
|
||||
# 遍历当前布局框之后的布局框
|
||||
for j in range(i + 1, len(layout_bboxes)):
|
||||
# 判断两个布局框是否重叠
|
||||
if _is_part_overlap(layout_bboxes[i], layout_bboxes[j]):
|
||||
# 计算每个布局框的中心点坐标和面积
|
||||
area_i = get_area(layout_bboxes[i])
|
||||
area_j = get_area(layout_bboxes[j])
|
||||
|
||||
# 较大布局框和较小布局框的赋值
|
||||
if area_i > area_j:
|
||||
larger_layout, smaller_layout = layout_bboxes[i], layout_bboxes[j]
|
||||
else:
|
||||
larger_layout, smaller_layout = layout_bboxes[j], layout_bboxes[i]
|
||||
|
||||
center_large = get_center_point(larger_layout)
|
||||
center_small = get_center_point(smaller_layout)
|
||||
# 计算横向和纵向的距离差
|
||||
distance_x = center_large[0] - center_small[0]
|
||||
distance_y = center_large[1] - center_small[1]
|
||||
|
||||
# 根据距离差判断重叠方向并修正边界
|
||||
if abs(distance_x) > abs(distance_y): # 左右重叠
|
||||
if distance_x > 0 and larger_layout[0] < smaller_layout[2]:
|
||||
larger_layout[0] = smaller_layout[2]+1
|
||||
if distance_x < 0 and larger_layout[2] > smaller_layout[0]:
|
||||
larger_layout[2] = smaller_layout[0]-1
|
||||
else: # 上下重叠
|
||||
if distance_y > 0 and larger_layout[1] < smaller_layout[3]:
|
||||
larger_layout[1] = smaller_layout[3]+1
|
||||
if distance_y < 0 and larger_layout[3] > smaller_layout[1]:
|
||||
larger_layout[3] = smaller_layout[1]-1
|
||||
# 排序调整布局边界框列表
|
||||
new_bboxes = []
|
||||
for layout_bbox in layout_bboxes:
|
||||
new_bboxes.append([layout_bbox[0], layout_bbox[1], layout_bbox[2], layout_bbox[3], None, None, None, None, None, None, None, None, None])
|
||||
|
||||
layout_bboxes, layout_tree = get_bboxes_layout(new_bboxes, page_boundry, page_id)
|
||||
|
||||
# 返回排序调整后的布局边界框列表
|
||||
return layout_bboxes, layout_tree
|
||||
|
||||
|
||||
def layout_detect(layout_info, page: fitz.Page, ocr_page_info):
|
||||
"""
|
||||
对输入的布局信息进行解析,提取出每个子布局的边界框,并对所有子布局进行排序调整。
|
||||
|
||||
Args:
|
||||
layout_info (list): 包含子布局信息的列表,每个子布局信息为字典类型,包含'poly'字段,表示子布局的边界框坐标信息。
|
||||
|
||||
Returns:
|
||||
list: 经过排序调整后的所有子布局边界框信息的列表,每个边界框信息为字典类型,包含'layout_bbox'字段,表示边界框的坐标信息。
|
||||
|
||||
"""
|
||||
page_id = ocr_page_info['page_info']['page_no']-1
|
||||
horizontal_scale_ratio, vertical_scale_ratio = get_scale_ratio(ocr_page_info, page)
|
||||
# 初始化布局边界框列表
|
||||
layout_bboxes = []
|
||||
# 遍历每个子布局
|
||||
for sub_layout in layout_info:
|
||||
# 提取子布局的边界框坐标信息
|
||||
x0, y0, _, _, x1, y1, _, _ = sub_layout['poly']
|
||||
bbox = [int(x0 / horizontal_scale_ratio), int(y0 / vertical_scale_ratio),
|
||||
int(x1 / horizontal_scale_ratio), int(y1 / vertical_scale_ratio)]
|
||||
|
||||
# 将子布局的边界框添加到列表中
|
||||
layout_bboxes.append(bbox)
|
||||
|
||||
# 初始化新的布局边界框列表
|
||||
new_layout_bboxes = []
|
||||
# 遍历每个布局边界框
|
||||
for i in range(len(layout_bboxes)):
|
||||
# 初始化标记变量,用于判断当前边界框是否需要保留
|
||||
keep = True
|
||||
# 获取当前边界框的坐标信息
|
||||
box_i = layout_bboxes[i]
|
||||
|
||||
# 遍历其他边界框
|
||||
for j in range(len(layout_bboxes)):
|
||||
# 排除当前边界框自身
|
||||
if i != j:
|
||||
# 获取其他边界框的坐标信息
|
||||
box_j = layout_bboxes[j]
|
||||
# 检测box_i是否被box_j包含
|
||||
if _is_in(box_i, box_j):
|
||||
# 如果当前边界框被其他边界框包含,则标记为不需要保留
|
||||
keep = False
|
||||
# 跳出内层循环
|
||||
break
|
||||
|
||||
# 如果当前边界框需要保留,则添加到新的布局边界框列表中
|
||||
if keep:
|
||||
new_layout_bboxes.append(layout_bboxes[i])
|
||||
|
||||
# 对新的布局边界框列表进行排序调整
|
||||
page_width = page.rect.width
|
||||
page_height = page.rect.height
|
||||
page_boundry = [0, 0, page_width, page_height]
|
||||
layout_bboxes, layout_tree = adjust_layouts(new_layout_bboxes, page_boundry, page_id)
|
||||
|
||||
# 返回排序调整后的布局边界框列表
|
||||
return layout_bboxes, layout_tree
|
||||
109
magic_pdf/pre_proc/ocr_dict_merge.py
Normal file
109
magic_pdf/pre_proc/ocr_dict_merge.py
Normal file
@@ -0,0 +1,109 @@
|
||||
from loguru import logger
|
||||
|
||||
from magic_pdf.libs.boxbase import __is_overlaps_y_exceeds_threshold, get_minbox_if_overlap_by_ratio, \
|
||||
calculate_overlap_area_in_bbox1_area_ratio
|
||||
from magic_pdf.libs.drop_tag import DropTag
|
||||
from magic_pdf.libs.ocr_content_type import ContentType
|
||||
|
||||
|
||||
# 将每一个line中的span从左到右排序
|
||||
def line_sort_spans_by_left_to_right(lines):
|
||||
line_objects = []
|
||||
for line in lines:
|
||||
# 按照x0坐标排序
|
||||
line.sort(key=lambda span: span['bbox'][0])
|
||||
line_bbox = [
|
||||
min(span['bbox'][0] for span in line), # x0
|
||||
min(span['bbox'][1] for span in line), # y0
|
||||
max(span['bbox'][2] for span in line), # x1
|
||||
max(span['bbox'][3] for span in line), # y1
|
||||
]
|
||||
line_objects.append({
|
||||
"bbox": line_bbox,
|
||||
"spans": line,
|
||||
})
|
||||
return line_objects
|
||||
|
||||
def merge_spans_to_line(spans):
|
||||
if len(spans) == 0:
|
||||
return []
|
||||
else:
|
||||
# 按照y0坐标排序
|
||||
spans.sort(key=lambda span: span['bbox'][1])
|
||||
|
||||
lines = []
|
||||
current_line = [spans[0]]
|
||||
for span in spans[1:]:
|
||||
# 如果当前的span类型为"interline_equation" 或者 当前行中已经有"interline_equation"
|
||||
# image和table类型,同上
|
||||
if span['type'] in [ContentType.InterlineEquation, ContentType.Image, ContentType.Table] or any(
|
||||
s['type'] in [ContentType.InterlineEquation, ContentType.Image, ContentType.Table] for s in current_line):
|
||||
# 则开始新行
|
||||
lines.append(current_line)
|
||||
current_line = [span]
|
||||
continue
|
||||
|
||||
# 如果当前的span与当前行的最后一个span在y轴上重叠,则添加到当前行
|
||||
if __is_overlaps_y_exceeds_threshold(span['bbox'], current_line[-1]['bbox']):
|
||||
current_line.append(span)
|
||||
else:
|
||||
# 否则,开始新行
|
||||
lines.append(current_line)
|
||||
current_line = [span]
|
||||
|
||||
# 添加最后一行
|
||||
if current_line:
|
||||
lines.append(current_line)
|
||||
|
||||
return lines
|
||||
|
||||
def merge_spans_to_line_by_layout(spans, layout_bboxes):
|
||||
lines = []
|
||||
new_spans = []
|
||||
dropped_spans = []
|
||||
for item in layout_bboxes:
|
||||
layout_bbox = item['layout_bbox']
|
||||
# 遍历spans,将每个span放入对应的layout中
|
||||
layout_sapns = []
|
||||
for span in spans:
|
||||
if calculate_overlap_area_in_bbox1_area_ratio(span['bbox'], layout_bbox) > 0.65:
|
||||
layout_sapns.append(span)
|
||||
# 如果layout_sapns不为空,则放入new_spans中
|
||||
if len(layout_sapns) > 0:
|
||||
new_spans.append(layout_sapns)
|
||||
# 从spans删除已经放入layout_sapns中的span
|
||||
for layout_sapn in layout_sapns:
|
||||
spans.remove(layout_sapn)
|
||||
|
||||
if len(new_spans) > 0:
|
||||
for layout_sapns in new_spans:
|
||||
layout_lines = merge_spans_to_line(layout_sapns)
|
||||
lines.extend(layout_lines)
|
||||
|
||||
# 对line中的span进行排序
|
||||
lines = line_sort_spans_by_left_to_right(lines)
|
||||
|
||||
for span in spans:
|
||||
span['tag'] = DropTag.NOT_IN_LAYOUT
|
||||
dropped_spans.append(span)
|
||||
|
||||
return lines, dropped_spans
|
||||
|
||||
|
||||
def merge_lines_to_block(lines):
|
||||
# 目前不做block拼接,先做个结构,每个block中只有一个line,block的bbox就是line的bbox
|
||||
blocks = []
|
||||
for line in lines:
|
||||
blocks.append(
|
||||
{
|
||||
"bbox": line["bbox"],
|
||||
"lines": [line],
|
||||
}
|
||||
)
|
||||
return blocks
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
208
magic_pdf/pre_proc/ocr_span_list_modify.py
Normal file
208
magic_pdf/pre_proc/ocr_span_list_modify.py
Normal file
@@ -0,0 +1,208 @@
|
||||
from loguru import logger
|
||||
|
||||
from magic_pdf.libs.boxbase import calculate_overlap_area_in_bbox1_area_ratio, get_minbox_if_overlap_by_ratio, \
|
||||
__is_overlaps_y_exceeds_threshold
|
||||
from magic_pdf.libs.drop_tag import DropTag
|
||||
from magic_pdf.libs.ocr_content_type import ContentType
|
||||
|
||||
|
||||
def remove_overlaps_min_spans(spans):
|
||||
dropped_spans = []
|
||||
# 删除重叠spans中较小的那些
|
||||
for span1 in spans.copy():
|
||||
for span2 in spans.copy():
|
||||
if span1 != span2:
|
||||
overlap_box = get_minbox_if_overlap_by_ratio(span1['bbox'], span2['bbox'], 0.65)
|
||||
if overlap_box is not None:
|
||||
bbox_to_remove = next((span for span in spans if span['bbox'] == overlap_box), None)
|
||||
if bbox_to_remove is not None:
|
||||
spans.remove(bbox_to_remove)
|
||||
bbox_to_remove['tag'] = DropTag.SPAN_OVERLAP
|
||||
dropped_spans.append(bbox_to_remove)
|
||||
return spans, dropped_spans
|
||||
|
||||
|
||||
def remove_spans_by_bboxes(spans, need_remove_spans_bboxes):
|
||||
# 遍历spans, 判断是否在removed_span_block_bboxes中
|
||||
# 如果是, 则删除该span 否则, 保留该span
|
||||
need_remove_spans = []
|
||||
for span in spans:
|
||||
for removed_bbox in need_remove_spans_bboxes:
|
||||
if calculate_overlap_area_in_bbox1_area_ratio(span['bbox'], removed_bbox) > 0.5:
|
||||
need_remove_spans.append(span)
|
||||
break
|
||||
|
||||
for span in need_remove_spans:
|
||||
spans.remove(span)
|
||||
|
||||
return spans
|
||||
|
||||
|
||||
def remove_spans_by_bboxes_dict(spans, need_remove_spans_bboxes_dict):
|
||||
dropped_spans = []
|
||||
for drop_tag, removed_bboxes in need_remove_spans_bboxes_dict.items():
|
||||
# logger.info(f"remove spans by bbox dict, drop_tag: {drop_tag}, removed_bboxes: {removed_bboxes}")
|
||||
need_remove_spans = []
|
||||
for span in spans:
|
||||
for removed_bbox in removed_bboxes:
|
||||
if calculate_overlap_area_in_bbox1_area_ratio(span['bbox'], removed_bbox) > 0.5:
|
||||
need_remove_spans.append(span)
|
||||
break
|
||||
|
||||
for span in need_remove_spans:
|
||||
spans.remove(span)
|
||||
span['tag'] = drop_tag
|
||||
dropped_spans.append(span)
|
||||
|
||||
return spans, dropped_spans
|
||||
|
||||
|
||||
def adjust_bbox_for_standalone_block(spans):
|
||||
# 对tpye=["interline_equation", "image", "table"]进行额外处理,如果左边有字的话,将该span的bbox中y0调整至不高于文字的y0
|
||||
for sb_span in spans:
|
||||
if sb_span['type'] in [ContentType.InterlineEquation, ContentType.Image, ContentType.Table]:
|
||||
for text_span in spans:
|
||||
if text_span['type'] in [ContentType.Text, ContentType.InlineEquation]:
|
||||
# 判断span2的纵向高度是否被span所覆盖
|
||||
if sb_span['bbox'][1] < text_span['bbox'][1] and sb_span['bbox'][3] > text_span['bbox'][3]:
|
||||
# 判断span2是否在span左边
|
||||
if text_span['bbox'][0] < sb_span['bbox'][0]:
|
||||
# 调整span的y0和span2的y0一致
|
||||
sb_span['bbox'][1] = text_span['bbox'][1]
|
||||
return spans
|
||||
|
||||
|
||||
def modify_y_axis(spans: list, displayed_list: list, text_inline_lines: list):
|
||||
# displayed_list = []
|
||||
# 如果spans为空,则不处理
|
||||
if len(spans) == 0:
|
||||
pass
|
||||
else:
|
||||
spans.sort(key=lambda span: span['bbox'][1])
|
||||
|
||||
lines = []
|
||||
current_line = [spans[0]]
|
||||
if spans[0]["type"] in [ContentType.InterlineEquation, ContentType.Image, ContentType.Table]:
|
||||
displayed_list.append(spans[0])
|
||||
|
||||
line_first_y0 = spans[0]["bbox"][1]
|
||||
line_first_y = spans[0]["bbox"][3]
|
||||
# 用于给行间公式搜索
|
||||
# text_inline_lines = []
|
||||
for span in spans[1:]:
|
||||
# if span.get("content","") == "78.":
|
||||
# print("debug")
|
||||
# 如果当前的span类型为"interline_equation" 或者 当前行中已经有"interline_equation"
|
||||
# image和table类型,同上
|
||||
if span['type'] in [ContentType.InterlineEquation, ContentType.Image, ContentType.Table] or any(
|
||||
s['type'] in [ContentType.InterlineEquation, ContentType.Image, ContentType.Table] for s in
|
||||
current_line):
|
||||
# 传入
|
||||
if span["type"] in [ContentType.InterlineEquation, ContentType.Image, ContentType.Table]:
|
||||
displayed_list.append(span)
|
||||
# 则开始新行
|
||||
lines.append(current_line)
|
||||
if len(current_line) > 1 or current_line[0]["type"] in [ContentType.Text, ContentType.InlineEquation]:
|
||||
text_inline_lines.append((current_line, (line_first_y0, line_first_y)))
|
||||
current_line = [span]
|
||||
line_first_y0 = span["bbox"][1]
|
||||
line_first_y = span["bbox"][3]
|
||||
continue
|
||||
|
||||
# 如果当前的span与当前行的最后一个span在y轴上重叠,则添加到当前行
|
||||
if __is_overlaps_y_exceeds_threshold(span['bbox'], current_line[-1]['bbox']):
|
||||
if span["type"] == "text":
|
||||
line_first_y0 = span["bbox"][1]
|
||||
line_first_y = span["bbox"][3]
|
||||
current_line.append(span)
|
||||
|
||||
else:
|
||||
# 否则,开始新行
|
||||
lines.append(current_line)
|
||||
text_inline_lines.append((current_line, (line_first_y0, line_first_y)))
|
||||
current_line = [span]
|
||||
line_first_y0 = span["bbox"][1]
|
||||
line_first_y = span["bbox"][3]
|
||||
|
||||
# 添加最后一行
|
||||
if current_line:
|
||||
lines.append(current_line)
|
||||
if len(current_line) > 1 or current_line[0]["type"] in [ContentType.Text, ContentType.InlineEquation]:
|
||||
text_inline_lines.append((current_line, (line_first_y0, line_first_y)))
|
||||
for line in text_inline_lines:
|
||||
# 按照x0坐标排序
|
||||
current_line = line[0]
|
||||
current_line.sort(key=lambda span: span['bbox'][0])
|
||||
|
||||
# 调整每一个文字行内bbox统一
|
||||
for line in text_inline_lines:
|
||||
current_line, (line_first_y0, line_first_y) = line
|
||||
for span in current_line:
|
||||
span["bbox"][1] = line_first_y0
|
||||
span["bbox"][3] = line_first_y
|
||||
|
||||
# return spans, displayed_list, text_inline_lines
|
||||
|
||||
|
||||
def modify_inline_equation(spans: list, displayed_list: list, text_inline_lines: list):
|
||||
# 错误行间公式转行内公式
|
||||
j = 0
|
||||
for i in range(len(displayed_list)):
|
||||
# if i == 8:
|
||||
# print("debug")
|
||||
span = displayed_list[i]
|
||||
span_y0, span_y = span["bbox"][1], span["bbox"][3]
|
||||
|
||||
while j < len(text_inline_lines):
|
||||
text_line = text_inline_lines[j]
|
||||
y0, y1 = text_line[1]
|
||||
if (
|
||||
span_y0 < y0 and span_y > y0 or span_y0 < y1 and span_y > y1 or span_y0 < y0 and span_y > y1) and __is_overlaps_y_exceeds_threshold(
|
||||
span['bbox'], (0, y0, 0, y1)):
|
||||
|
||||
# 调整公式类型
|
||||
if span["type"] == ContentType.InterlineEquation:
|
||||
# 最后一行是行间公式
|
||||
if j + 1 >= len(text_inline_lines):
|
||||
span["type"] = ContentType.InlineEquation
|
||||
span["bbox"][1] = y0
|
||||
span["bbox"][3] = y1
|
||||
else:
|
||||
# 行间公式旁边有多行文字或者行间公式比文字高3倍则不转换
|
||||
y0_next, y1_next = text_inline_lines[j + 1][1]
|
||||
if not __is_overlaps_y_exceeds_threshold(span['bbox'], (0, y0_next, 0, y1_next)) and 3 * (
|
||||
y1 - y0) > span_y - span_y0:
|
||||
span["type"] = ContentType.InlineEquation
|
||||
span["bbox"][1] = y0
|
||||
span["bbox"][3] = y1
|
||||
break
|
||||
elif span_y < y0 or span_y0 < y0 and span_y > y0 and not __is_overlaps_y_exceeds_threshold(span['bbox'],
|
||||
(0, y0, 0, y1)):
|
||||
break
|
||||
else:
|
||||
j += 1
|
||||
|
||||
return spans
|
||||
|
||||
|
||||
def get_qa_need_list(blocks):
|
||||
# 创建 images, tables, interline_equations, inline_equations 的副本
|
||||
images = []
|
||||
tables = []
|
||||
interline_equations = []
|
||||
inline_equations = []
|
||||
|
||||
for block in blocks:
|
||||
for line in block["lines"]:
|
||||
for span in line["spans"]:
|
||||
if span["type"] == ContentType.Image:
|
||||
images.append(span)
|
||||
elif span["type"] == ContentType.Table:
|
||||
tables.append(span)
|
||||
elif span["type"] == ContentType.InlineEquation:
|
||||
inline_equations.append(span)
|
||||
elif span["type"] == ContentType.InterlineEquation:
|
||||
interline_equations.append(span)
|
||||
else:
|
||||
continue
|
||||
return images, tables, interline_equations, inline_equations
|
||||
43
magic_pdf/pre_proc/remove_bbox_overlap.py
Normal file
43
magic_pdf/pre_proc/remove_bbox_overlap.py
Normal file
@@ -0,0 +1,43 @@
|
||||
from magic_pdf.libs.boxbase import _is_in_or_part_overlap, _is_in
|
||||
|
||||
|
||||
def _remove_overlap_between_bbox(spans):
|
||||
res = []
|
||||
for v in spans:
|
||||
for i in range(len(res)):
|
||||
if _is_in(res[i]["bbox"], v["bbox"]):
|
||||
continue
|
||||
if _is_in_or_part_overlap(res[i]["bbox"], v["bbox"]):
|
||||
ix0, iy0, ix1, iy1 = res[i]["bbox"]
|
||||
x0, y0, x1, y1 = v["bbox"]
|
||||
|
||||
diff_x = min(x1, ix1) - max(x0, ix0)
|
||||
diff_y = min(y1, iy1) - max(y0, iy0)
|
||||
|
||||
if diff_y > diff_x:
|
||||
if x1 >= ix1:
|
||||
mid = (x0 + ix1) // 2
|
||||
ix1 = min(mid, ix1)
|
||||
x0 = max(mid + 1, x0)
|
||||
else:
|
||||
mid = (ix0 + x1) // 2
|
||||
ix0 = max(mid + 1, ix0)
|
||||
x1 = min(mid, x1)
|
||||
else:
|
||||
if y1 >= iy1:
|
||||
mid = (y0 + iy1) // 2
|
||||
y0 = max(mid + 1, y0)
|
||||
iy1 = min(iy1, mid)
|
||||
else:
|
||||
mid = (iy0 + y1) // 2
|
||||
y1 = min(y1, mid)
|
||||
iy0 = max(mid + 1, iy0)
|
||||
res[i]["bbox"] = [ix0, iy0, ix1, iy1]
|
||||
v["bbox"] = [x0, y0, x1, y1]
|
||||
|
||||
res.append(v)
|
||||
return res
|
||||
|
||||
|
||||
def remove_overlap_between_bbox(spans):
|
||||
return _remove_overlap_between_bbox(spans)
|
||||
@@ -1,6 +1,7 @@
|
||||
import re
|
||||
|
||||
from magic_pdf.libs.boxbase import _is_in_or_part_overlap
|
||||
from magic_pdf.libs.drop_tag import CONTENT_IN_FOOT_OR_HEADER, PAGE_NO
|
||||
|
||||
|
||||
def remove_headder_footer_one_page(text_raw_blocks, image_bboxes, table_bboxes, header_bboxs, footer_bboxs,
|
||||
@@ -67,7 +68,7 @@ def remove_headder_footer_one_page(text_raw_blocks, image_bboxes, table_bboxes,
|
||||
blk['lines'].remove(line)
|
||||
else:
|
||||
# if not blk['lines']:
|
||||
blk['tag'] = 'in-foot-header-area'
|
||||
blk['tag'] = CONTENT_IN_FOOT_OR_HEADER
|
||||
text_block_to_remove.append(blk)
|
||||
|
||||
"""有的时候由于pageNo太小了,总是会有一点和content_boundry重叠一点,被放入正文,因此对于pageNo,进行span粒度的删除"""
|
||||
@@ -80,7 +81,7 @@ def remove_headder_footer_one_page(text_raw_blocks, image_bboxes, table_bboxes,
|
||||
for span in line['spans']:
|
||||
if _is_in_or_part_overlap(pagenobox, span['bbox']):
|
||||
# span['text'] = ''
|
||||
span['tag'] = "page-no"
|
||||
span['tag'] = PAGE_NO
|
||||
# 检查这个block是否只有这一个span,如果是,那么就把这个block也删除
|
||||
if len(line['spans']) == 1 and len(block['lines']) == 1:
|
||||
page_no_block_2_remove.append(block)
|
||||
@@ -96,7 +97,7 @@ def remove_headder_footer_one_page(text_raw_blocks, image_bboxes, table_bboxes,
|
||||
if last_span['text'].strip() and not re.search('[a-zA-Z]', last_span['text']) and re.search('[0-9]',
|
||||
last_span[
|
||||
'text']):
|
||||
last_span['tag'] = "page-no"
|
||||
last_span['tag'] = PAGE_NO
|
||||
page_no_block_2_remove.append(last_block)
|
||||
|
||||
for b in page_no_block_2_remove:
|
||||
|
||||
@@ -1,6 +1,7 @@
|
||||
import math
|
||||
|
||||
from magic_pdf.libs.boxbase import is_vbox_on_side
|
||||
from magic_pdf.libs.drop_tag import EMPTY_SIDE_BLOCK, ROTATE_TEXT, VERTICAL_TEXT
|
||||
|
||||
|
||||
def detect_non_horizontal_texts(result_dict):
|
||||
@@ -134,13 +135,13 @@ def remove_rotate_side_textblock(pymu_text_block, page_width, page_height):
|
||||
is_box_valign = (len(set([int(line['spans'][0]['bbox'][0] ) for line in lines if len(line['spans'])>0]))==1) and (len([int(line['spans'][0]['bbox'][0] ) for line in lines if len(line['spans'])>0])>1) # 测试bbox在垂直方向是不是x0都相等,也就是在垂直方向排列.同时必须大于等于2个字
|
||||
|
||||
if is_box_valign:
|
||||
block['tag'] = "vertical-text"
|
||||
block['tag'] = VERTICAL_TEXT
|
||||
removed_text_block.append(block)
|
||||
continue
|
||||
|
||||
for line in lines:
|
||||
if line['dir']!=(1,0):
|
||||
block['tag'] = "rotate"
|
||||
block['tag'] = ROTATE_TEXT
|
||||
removed_text_block.append(block) # 只要有一个line不是dir=(1,0),就把整个block都删掉
|
||||
break
|
||||
|
||||
@@ -177,7 +178,7 @@ def remove_side_blank_block(pymu_text_block, page_width, page_height):
|
||||
continue
|
||||
|
||||
if __is_empty_side_box(block):
|
||||
block['tag'] = "empty-side-block"
|
||||
block['tag'] = EMPTY_SIDE_BLOCK
|
||||
removed_text_block.append(block)
|
||||
continue
|
||||
|
||||
|
||||
@@ -6,6 +6,7 @@
|
||||
"""
|
||||
|
||||
from magic_pdf.libs.boxbase import _is_in, _is_in_or_part_overlap, _is_left_overlap
|
||||
from magic_pdf.libs.drop_tag import ON_IMAGE_TEXT, ON_TABLE_TEXT
|
||||
|
||||
|
||||
def resolve_bbox_overlap_conflict(images:list, tables:list, interline_equations:list, inline_equations:list, text_raw_blocks:list):
|
||||
@@ -27,14 +28,14 @@ def resolve_bbox_overlap_conflict(images:list, tables:list, interline_equations:
|
||||
for text_block in text_raw_blocks:
|
||||
text_bbox = text_block["bbox"]
|
||||
if _is_in(text_bbox, image_box):
|
||||
text_block['tag'] = "on-image"
|
||||
text_block['tag'] = ON_IMAGE_TEXT
|
||||
text_block_removed.append(text_block)
|
||||
# 去掉table上的文字block
|
||||
for table_box in tables:
|
||||
for text_block in text_raw_blocks:
|
||||
text_bbox = text_block["bbox"]
|
||||
if _is_in(text_bbox, table_box):
|
||||
text_block['tag'] = "on-table"
|
||||
text_block['tag'] = ON_TABLE_TEXT
|
||||
text_block_removed.append(text_block)
|
||||
|
||||
for text_block in text_block_removed:
|
||||
|
||||
@@ -11,5 +11,6 @@ pycld2>=0.41
|
||||
regex>=2023.12.25
|
||||
spacy>=3.7.4
|
||||
termcolor>=2.4.0
|
||||
scikit-learn
|
||||
en_core_web_sm @ https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.7.1/en_core_web_sm-3.7.1-py3-none-any.whl
|
||||
zh_core_web_sm @ https://github.com/explosion/spacy-models/releases/download/zh_core_web_sm-3.7.0/zh_core_web_sm-3.7.0-py3-none-any.whl
|
||||
Reference in New Issue
Block a user